Triple
T16620123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Mostel |
E403801
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Kate Mostel |
E1079714
|
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: Kate Mostel | Statement: [Josh Mostel, parent, Kate Mostel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Mostel Context triple: [Josh Mostel, parent, Kate Mostel]
-
A.
Kate Mostel
chosen
Kate Mostel was the wife of actor and comedian Zero Mostel and a painter known for her work in the New York art scene.
-
B.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
C.
Maureen Kershner
Maureen Kershner is known as the spouse of American film director Irvin Kershner, who directed "The Empire Strikes Back."
-
D.
Teresa Ganzel
Teresa Ganzel is an American actress and comedian best known for her frequent appearances on The Tonight Show Starring Johnny Carson and her roles in 1980s comedies and voice acting.
-
E.
Babette Dietz
Babette Dietz was the wife of silent film comedian Ben Turpin, known primarily in connection with his personal life.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.