Triple
T19607043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copacabana (At the Copa) |
E470633
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jack Feldman |
—
|
NE NERFINISHED |
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: Jack Feldman | Statement: [Copacabana (At the Copa), writer, Jack Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Feldman Context triple: [Copacabana (At the Copa), writer, Jack Feldman]
-
A.
Jack Feldman
chosen
Jack Feldman is an American lyricist best known for his work on the Disney film and stage musical "Newsies," as well as numerous pop songs and television projects.
-
B.
Jon Feldman
Jon Feldman is an American television writer and producer known for his work on various drama series.
-
C.
Jerry Feldman
Jerry Feldman is the fast-talking, compulsive gambler protagonist of the 1982 comedy film "Lookin' to Get Out," whose misadventures in Las Vegas drive the movie’s plot.
-
D.
Michael Feldman
Michael Feldman is an American political and communications strategist best known as the husband of television journalist Savannah Guthrie.
-
E.
Jerome Feldman
Jerome Feldman is a cognitive scientist and computer scientist known for his contributions to neural networks, computational models of cognition, and the foundations of cognitive science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c8aae8819086337e364724f1cb |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.