Triple
T7560449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle |
E178779
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Laurie Zaks
Laurie Zaks is a television producer best known for her work as an executive producer on the hit crime-comedy series "Castle."
|
E680576
|
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: Laurie Zaks | Statement: [Castle, executiveProducer, Laurie Zaks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Zaks Context triple: [Castle, executiveProducer, Laurie Zaks]
-
A.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
B.
Eleanor Zellman
Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
-
C.
Leslie Kogan
Leslie Kogan is the wife of American singer-songwriter Andrew Gold, known for her connection to the acclaimed musician behind hits like "Lonely Boy" and "Thank You for Being a Friend."
-
D.
Julie Kroitor
Julie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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: Laurie Zaks Triple: [Castle, executiveProducer, Laurie Zaks]
Generated description
Laurie Zaks is a television producer best known for her work as an executive producer on the hit crime-comedy series "Castle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurie Zaks Target entity description: Laurie Zaks is a television producer best known for her work as an executive producer on the hit crime-comedy series "Castle."
-
A.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
B.
Eleanor Zellman
Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
-
C.
Leslie Kogan
Leslie Kogan is the wife of American singer-songwriter Andrew Gold, known for her connection to the acclaimed musician behind hits like "Lonely Boy" and "Thank You for Being a Friend."
-
D.
Julie Kroitor
Julie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a2083fdc8190b44e84e02ac3ef0a |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a2ad204081908bc3a8a0ac782cd6 |
completed | March 29, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a31c86d481908f57855089338f94 |
completed | March 29, 2026, 3:57 a.m. |
Created at: March 27, 2026, 3:50 p.m.