Triple
T14896342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Metz |
E359885
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object | Bernard Serin |
—
|
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: Bernard Serin | Statement: [FC Metz, president, Bernard Serin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Serin Context triple: [FC Metz, president, Bernard Serin]
-
A.
Bernard Serin
chosen
Bernard Serin is a French businessman best known as the president and principal owner of the football club FC Metz.
-
B.
Pierre Hohenberg
Pierre Hohenberg was a theoretical physicist best known for co-formulating the Hohenberg–Kohn theorems, which laid the mathematical foundation of modern density functional theory in quantum mechanics.
-
C.
Pierre Sergent
Pierre Sergent was a French army officer and prominent far-right activist best known as a leading figure of the Organisation armée secrète (OAS) during the Algerian War.
-
D.
Christian Bérard
Christian Bérard was a French artist and theatrical designer renowned for his influential set and costume designs in ballet, theater, and film in the early 20th century.
-
E.
René Le Hénaff
René Le Hénaff was a French film editor and director known for his work on numerous classic French films in the early to mid-20th century.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
Created at: April 10, 2026, 2:10 a.m.