Triple
T1809574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troop Zero |
E40299
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
|
E210986
|
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: Jonathan Lucas | Statement: [Troop Zero, editor, Jonathan Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Lucas Context triple: [Troop Zero, editor, Jonathan Lucas]
-
A.
John Paul Lucas
John Paul Lucas is an American architect best known for co-designing the Korean War Veterans Memorial in Washington, D.C.
-
B.
Jonathan Lisco
Jonathan Lisco is an American television writer, producer, and showrunner known for his work on series such as Animal Kingdom, Halt and Catch Fire, and Jack & Bobby.
-
C.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
-
D.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
E.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
- 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: Jonathan Lucas Triple: [Troop Zero, editor, Jonathan Lucas]
Generated description
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Lucas Target entity description: Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
A.
John Paul Lucas
John Paul Lucas is an American architect best known for co-designing the Korean War Veterans Memorial in Washington, D.C.
-
B.
Jonathan Lisco
Jonathan Lisco is an American television writer, producer, and showrunner known for his work on series such as Animal Kingdom, Halt and Catch Fire, and Jack & Bobby.
-
C.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
-
D.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
E.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead39c208190aa3aaf793c7e3224 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb1049dc8190bbf9aa6ad5ad1ad9 |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adeb8d6c948190a28963faa04b6883 |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 4, 2026, 7:32 p.m.