Triple
T2273983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullitt |
E50725
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Don Gordon
Don Gordon was an American character actor best known for his frequent collaborations with Steve McQueen in films such as "Bullitt" and "Papillon."
|
E250925
|
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: Don Gordon | Statement: [Bullitt, starring, Don Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Gordon Context triple: [Bullitt, starring, Don Gordon]
-
A.
Frank Gifford
Frank Gifford was an American football star of the 1950s and 1960s who became a prominent sportscaster after his playing career.
-
B.
Jack Kinchela
Jack Kinchela was an Aboriginal Australian activist known for helping organize the landmark 1938 National Day of Mourning protest against the mistreatment of Indigenous peoples.
-
C.
Leon Jaworski
Leon Jaworski was a prominent American lawyer best known for serving as the Watergate special prosecutor who pursued the case against President Richard Nixon.
-
D.
Bobby Dyer
Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
-
E.
William Shea
William Shea is an editor known for his work on the film "The Wedding March."
- 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: Don Gordon Triple: [Bullitt, starring, Don Gordon]
Generated description
Don Gordon was an American character actor best known for his frequent collaborations with Steve McQueen in films such as "Bullitt" and "Papillon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Gordon Target entity description: Don Gordon was an American character actor best known for his frequent collaborations with Steve McQueen in films such as "Bullitt" and "Papillon."
-
A.
Frank Gifford
Frank Gifford was an American football star of the 1950s and 1960s who became a prominent sportscaster after his playing career.
-
B.
Jack Kinchela
Jack Kinchela was an Aboriginal Australian activist known for helping organize the landmark 1938 National Day of Mourning protest against the mistreatment of Indigenous peoples.
-
C.
Leon Jaworski
Leon Jaworski was a prominent American lawyer best known for serving as the Watergate special prosecutor who pursued the case against President Richard Nixon.
-
D.
Bobby Dyer
Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
-
E.
William Shea
William Shea is an editor known for his work on the film "The Wedding March."
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ea6cc88190982527774223127f |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71ddc66c81909525394a8b2bb4e0 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae75ba1a988190ba59d3ce5e5c39a8 |
completed | March 9, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76246f6c81909a15262d2c4ea975 |
completed | March 9, 2026, 7:26 a.m. |
Created at: March 4, 2026, 7:48 p.m.