Triple
T18181425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Eisner |
E435292
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Eric Eisner |
—
|
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: Eric Eisner | Statement: [Michael Eisner, hasChild, Eric Eisner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Eisner Context triple: [Michael Eisner, hasChild, Eric Eisner]
-
A.
Eric Eisner
chosen
Eric Eisner is a film producer best known for his work on independent and offbeat movies, including the comedy "Hamlet 2."
-
B.
Ron Burkle
Ron Burkle is an American billionaire investor and co-founder of the private equity firm Yucaipa Companies, known for his extensive investments in retail, sports, and media.
-
C.
Rich Silverstein
Rich Silverstein is an influential American advertising executive and co-founder of the agency Goodby, Silverstein & Partners, known for iconic campaigns such as “Got Milk?”.
-
D.
Larry Eisenberg
Larry Eisenberg was an American biomedical engineer, science fiction writer, and humorist best known for his witty limericks and contributions to speculative fiction.
-
E.
Terry Semel
Terry Semel is an American media executive best known as the former CEO and Chairman of Yahoo! and longtime Warner Bros. studio chief.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffb3bc88190a627be9c444d5c7d |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.