Triple
T13844583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Zimmer |
E332761
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Zimmer |
E332761
|
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: George Zimmer | Statement: [George Zimmer, name, George Zimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Zimmer Context triple: [George Zimmer, name, George Zimmer]
-
A.
George Zimmer
chosen
George Zimmer is an American businessman best known as the founder and former CEO of the men's clothing retailer Men's Wearhouse.
-
B.
Thomas Newman
Thomas Newman is an acclaimed American film composer known for his distinctive, atmospheric scores for movies such as "American Beauty," "The Shawshank Redemption," and "Skyfall."
-
C.
Thomas Newman
Thomas Newman was an Elizabethan-era London printer and publisher known for issuing early editions of important literary works, including Philip Sidney’s sonnet sequence "Astrophil and Stella."
-
D.
Michael Abels
Michael Abels is an American composer best known for his innovative, genre-blending film scores for Jordan Peele’s movies, including Get Out, Us, and Nope.
-
E.
Hans Zimmer
Hans Zimmer is a renowned German film composer celebrated for his influential, award-winning scores for major Hollywood blockbusters such as The Lion King, Gladiator, Inception, and The Dark Knight trilogy.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.