Triple
T11196501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Revson |
E264935
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Martin Revson |
E388406
|
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: Martin Revson | Statement: [Charles Revson, sibling, Martin Revson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Revson Context triple: [Charles Revson, sibling, Martin Revson]
-
A.
Joseph Revson
chosen
Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
-
B.
Reuben Feffer
Reuben Feffer is the cautious, risk-averse insurance analyst portrayed by Ben Stiller in the romantic comedy film "Along Came Polly."
-
C.
Martin Elfand
Martin Elfand is an American film producer best known for his work on the acclaimed 1975 crime drama "Dog Day Afternoon."
-
D.
Sidney Wolinsky
Sidney Wolinsky is a Canadian-American film and television editor best known for his work on acclaimed projects such as the Oscar-winning film "The Shape of Water" and the series "The Sopranos."
-
E.
Meyer Solomon
Meyer Solomon was a prominent early 20th-century psychiatrist and reformer who played a key role in advancing the mental hygiene movement’s efforts to improve public mental health care and prevention.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4840640688190a5b3c36883b8fce8 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 8, 2026, 9:29 p.m.