Triple
T3564566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starsky & Hutch |
E75413
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tony Ludwig
Tony Ludwig is a film and television producer best known for his work on the action-comedy series "Starsky & Hutch."
|
E369324
|
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: Tony Ludwig | Statement: [Starsky & Hutch, producer, Tony Ludwig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Ludwig Context triple: [Starsky & Hutch, producer, Tony Ludwig]
-
A.
Alexander Luders
Alexander Luders was a British legal scholar and editor known for his work on historical English statutes, including contributions to major compilations of the realm’s laws.
-
B.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
C.
Tim Lippe
Tim Lippe is the naive, small-town insurance salesman who serves as the protagonist of the comedy film "Cedar Rapids."
-
D.
Donald Wolfit
Donald Wolfit was a renowned English stage and film actor, particularly celebrated for his Shakespearean performances and his powerful, often larger-than-life acting style.
-
E.
Robert Prince
Robert Prince was an American jazz arranger and composer best known for his work in television and film scoring.
- 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: Tony Ludwig Triple: [Starsky & Hutch, producer, Tony Ludwig]
Generated description
Tony Ludwig is a film and television producer best known for his work on the action-comedy series "Starsky & Hutch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Ludwig Target entity description: Tony Ludwig is a film and television producer best known for his work on the action-comedy series "Starsky & Hutch."
-
A.
Alexander Luders
Alexander Luders was a British legal scholar and editor known for his work on historical English statutes, including contributions to major compilations of the realm’s laws.
-
B.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
C.
Tim Lippe
Tim Lippe is the naive, small-town insurance salesman who serves as the protagonist of the comedy film "Cedar Rapids."
-
D.
Donald Wolfit
Donald Wolfit was a renowned English stage and film actor, particularly celebrated for his Shakespearean performances and his powerful, often larger-than-life acting style.
-
E.
Robert Prince
Robert Prince was an American jazz arranger and composer best known for his work in television and film scoring.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a76c008190a2056b6d990776fe |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bba91d08819081a433c9f06a2c2b |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bda1e1ac819094ac613c0e55c048 |
completed | March 13, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5adac0481908b9053585c317be0 |
completed | March 13, 2026, 11:31 a.m. |
Created at: March 8, 2026, 3:21 p.m.