Triple
T18706624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Clary |
E457386
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Clary |
—
|
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: Clary | Statement: [François Clary, familyName, Clary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clary Context triple: [François Clary, familyName, Clary]
-
A.
Clary
chosen
Clary is a surname most notably associated with English comedian, actor, and writer Julian Clary.
-
B.
Clary
Clary is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis in the Nord department.
-
C.
Charles Clary
Charles Clary was an American silent film actor prominent in the early 20th century, known for his roles in numerous dramas and serials.
-
D.
Lyra Angelica
Lyra Angelica is a lyrical concerto for harp and string orchestra by British composer William Alwyn, admired for its romantic, expressive character.
-
E.
Cassandra Grey
Cassandra Grey is an American entrepreneur and beauty industry figure best known as the founder of the luxury beauty retailer Violet Grey and as the widow of Hollywood producer and former Paramount Pictures CEO Brad Grey.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671717b88190974f542015f641e8 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.