Triple
T15897031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engel |
E385482
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Engel
Peter Engel is an American television producer best known for creating and producing numerous popular teen sitcoms, including the hit series "Saved by the Bell."
|
E1184028
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peter Engel | Statement: [Engel, hasNotableBearer, Peter Engel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Engel Context triple: [Engel, hasNotableBearer, Peter Engel]
-
A.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
B.
Max Engel
Max Engel is the young boy protagonist in the 2015 horror-comedy film "Krampus," whose loss of Christmas spirit inadvertently summons the titular demonic creature.
-
C.
Peter Honess
Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
-
D.
Michael Engler
Michael Engler is an American television and film director and producer known for his work on acclaimed series such as "Downton Abbey," "Sex and the City," and "30 Rock."
-
E.
Peter Weck
Peter Weck is an Austrian actor and director known for his extensive work in German-language film, television, and theater.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Engel Triple: [Engel, hasNotableBearer, Peter Engel]
Generated description
Peter Engel is an American television producer best known for creating and producing numerous popular teen sitcoms, including the hit series "Saved by the Bell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Engel Target entity description: Peter Engel is an American television producer best known for creating and producing numerous popular teen sitcoms, including the hit series "Saved by the Bell."
-
A.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
B.
Max Engel
Max Engel is the young boy protagonist in the 2015 horror-comedy film "Krampus," whose loss of Christmas spirit inadvertently summons the titular demonic creature.
-
C.
Peter Honess
Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
-
D.
Michael Engler
Michael Engler is an American television and film director and producer known for his work on acclaimed series such as "Downton Abbey," "Sex and the City," and "30 Rock."
-
E.
Peter Weck
Peter Weck is an Austrian actor and director known for his extensive work in German-language film, television, and theater.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15639c9748190b1115f74cbd61330 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a1b1548190a8579cebf9e71121 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:51 a.m.