Triple
T22602505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lavin |
E574864
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ron Leibman |
E446417
|
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: Ron Leibman | Statement: [Linda Lavin, spouse, Ron Leibman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Leibman Context triple: [Linda Lavin, spouse, Ron Leibman]
-
A.
Ron Leibman
chosen
Ron Leibman was an American actor known for his work in film, television, and theater, including his Emmy-winning role in "Kaz" and his portrayal of Rachel’s father on "Friends."
-
B.
Rod Lurie
Rod Lurie is an Israeli-American filmmaker and former film critic known for directing politically charged dramas and war films such as "The Contender" and "The Outpost."
-
C.
Ronald Margulies
Ronald Margulies is a Turkish writer, poet, and political commentator of Jewish descent known for his leftist activism and literary work.
-
D.
Robert Levine
Robert Levine is an American cardiologist best known as the husband of actress Mary Tyler Moore.
-
E.
Robert Levine
Robert Levine is a writer and producer known for his work in American television, including co-creating and writing for several drama series.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626eb178819096866d03a78f82fc |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d682f5081909814d3fd294221d9 |
completed | May 18, 2026, 4:25 p.m. |
Created at: April 17, 2026, 2:50 p.m.