Triple
T15408091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yves Chauvin |
E368515
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chauvin |
E368515
|
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: Chauvin | Statement: [Yves Chauvin, familyName, Chauvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauvin Context triple: [Yves Chauvin, familyName, Chauvin]
-
A.
Chauvin
chosen
Chauvin is a French surname most notably borne by Yves Chauvin, the Nobel Prize–winning chemist known for his work on the mechanism of olefin metathesis.
-
B.
Charl
Charl is a given name, typically a shortened or variant form of the name Charles.
-
C.
Black Phillip
Black Phillip is the sinister goat embodying the Devil in the 2015 horror film "The Witch."
-
D.
Cowlitz Cleaver
Cowlitz Cleaver is a prominent rocky ridge on Mount Rainier in Washington State that separates the Cowlitz and Ingraham Glaciers and serves as a key landmark for climbers ascending the mountain.
-
E.
Emmett
Emmett is a hardened yet resourceful survivor in the post-apocalyptic horror film "A Quiet Place Part II," who becomes a reluctant protector and guide to the remaining Abbott family.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.