Triple
T15897027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engel |
E385482
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joel Engel
Joel Engel is a notable individual recognized for achievements significant enough to distinguish him among others sharing the surname Engel.
|
E1193575
|
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: Joel Engel | Statement: [Engel, hasNotableBearer, Joel Engel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Engel Context triple: [Engel, hasNotableBearer, Joel Engel]
-
A.
Joel Springer
Joel Springer is known primarily as the husband of award-winning American mystery and fantasy author Nancy Springer.
-
B.
Joel Bergman
Joel Bergman was an American architect best known for designing iconic, large-scale casino resorts in Las Vegas.
-
C.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
D.
Joel Benjamin
Joel Benjamin is an American chess grandmaster and author who notably served as a consultant for IBM's Deep Blue computer in its historic matches against Garry Kasparov.
-
E.
Joel Davison
Joel Davison is known primarily as the son of English actor Peter Davison, who played the Fifth Doctor in the long-running television series Doctor Who.
- 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: Joel Engel Triple: [Engel, hasNotableBearer, Joel Engel]
Generated description
Joel Engel is a notable individual recognized for achievements significant enough to distinguish him among others sharing the surname Engel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Engel Target entity description: Joel Engel is a notable individual recognized for achievements significant enough to distinguish him among others sharing the surname Engel.
-
A.
Joel Springer
Joel Springer is known primarily as the husband of award-winning American mystery and fantasy author Nancy Springer.
-
B.
Joel Bergman
Joel Bergman was an American architect best known for designing iconic, large-scale casino resorts in Las Vegas.
-
C.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
D.
Joel Benjamin
Joel Benjamin is an American chess grandmaster and author who notably served as a consultant for IBM's Deep Blue computer in its historic matches against Garry Kasparov.
-
E.
Joel Davison
Joel Davison is known primarily as the son of English actor Peter Davison, who played the Fifth Doctor in the long-running television series Doctor Who.
- 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_69ffe46b06688190a02fee3700efd709 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe87a898881909848233ef3d508d2 |
completed | May 10, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe8b3cdec8190b29de77b4fd3ae87 |
completed | May 10, 2026, 2:08 a.m. |
Created at: April 10, 2026, 4:51 a.m.