Triple
T10365026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storage Wars |
E244229
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Philip D. Segal |
E742750
|
NE FINISHED |
How this triple was built (2 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: Philip D. Segal | Statement: [Storage Wars, executiveProducer, Philip D. Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip D. Segal Context triple: [Storage Wars, executiveProducer, Philip D. Segal]
-
A.
Douglas Segal
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
-
B.
Philip Segal
chosen
Philip Segal is a television producer best known for his work on genre and reality-based series, including serving as an executive producer on the darkly comedic show "1000 Ways to Die."
-
C.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
D.
Robert G. Goldstein
Robert G. Goldstein is an American business executive best known as the chief executive officer and a leading figure of the global casino and resort company Las Vegas Sands.
-
E.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f31e3d5c8190a044eaf67ebc9f08 |
completed | April 19, 2026, 3:22 p.m. |
Created at: April 6, 2026, noon