Triple
T11431436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammy Cahn |
E270891
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Laurie Cahn |
E270891
|
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: Laurie Cahn | Statement: [Sammy Cahn, child, Laurie Cahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Cahn Context triple: [Sammy Cahn, child, Laurie Cahn]
-
A.
Laurie Cahn
chosen
Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
-
B.
Sandy Stern
Sandy Stern is a film producer best known for his work on independent and cult-favorite movies, including the 1990 teen drama "Pump Up the Volume."
-
C.
Leslie Morgenstein
Leslie Morgenstein is an American television and film producer best known as the president of Alloy Entertainment, where he has overseen numerous hit young-adult adaptations including series like Gossip Girl and Pretty Little Liars.
-
D.
Nancy Lieberman
Nancy Lieberman is a pioneering American basketball player and coach, widely regarded as one of the greatest figures in women's basketball history and a trailblazer for women in the sport.
-
E.
Gail Berman
Gail Berman is an American television and film producer and media executive known for her influential roles at major studios and for producing high-profile projects across network TV and Hollywood.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8e212088190b611333d5de05757 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.