Triple
T3174929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ox-Bow Incident |
E66438
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Marc Lawrence
Marc Lawrence was an American character actor best known for his frequent portrayals of gangsters and tough guys in classic Hollywood films.
|
E348977
|
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: Marc Lawrence | Statement: [The Ox-Bow Incident, castMember, Marc Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Lawrence Context triple: [The Ox-Bow Incident, castMember, Marc Lawrence]
-
A.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
B.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
D.
Graeme Revell
Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
-
E.
Mark Carlisle
Mark Carlisle was a British Conservative politician who served in senior government roles, including as Secretary of State for Education and Science under Prime Minister Margaret Thatcher.
- 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: Marc Lawrence Triple: [The Ox-Bow Incident, castMember, Marc Lawrence]
Generated description
Marc Lawrence was an American character actor best known for his frequent portrayals of gangsters and tough guys in classic Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Lawrence Target entity description: Marc Lawrence was an American character actor best known for his frequent portrayals of gangsters and tough guys in classic Hollywood films.
-
A.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
B.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
-
D.
Graeme Revell
Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
-
E.
Mark Carlisle
Mark Carlisle was a British Conservative politician who served in senior government roles, including as Secretary of State for Education and Science under Prime Minister Margaret Thatcher.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada671e6848190a683eec1519b9268 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a6206988190a6aaecbfe8ccf0bf |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31aded5808190afbe4ae3ddb70428 |
completed | March 12, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31c4665c081908d96878fc257fb76 |
completed | March 12, 2026, 8:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.