Triple
T17217749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Marceau |
E417894
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anthony Zimmer |
E511318
|
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: Anthony Zimmer | Statement: [Sophie Marceau, notableWork, Anthony Zimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Zimmer Context triple: [Sophie Marceau, notableWork, Anthony Zimmer]
-
A.
Anthony Zimmer
chosen
Anthony Zimmer is a 2005 French thriller film about a master money launderer and identity expert pursued by both the police and the Russian mafia.
-
B.
Phil Zamore
Phil Zamore is a molecular biologist and biotechnology entrepreneur best known as a co-founder of Alnylam Pharmaceuticals and a pioneer in the field of RNA interference therapeutics.
-
C.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
D.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
-
E.
Chris Stover
Chris Stover is a cinematographer known for his work on the animated racing film "Turbo."
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.