Triple
T6866487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constant Troyon |
E158414
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Constant Troyon |
E158414
|
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: Constant Troyon | Statement: [Constant Troyon, name, Constant Troyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constant Troyon Context triple: [Constant Troyon, name, Constant Troyon]
-
A.
Constant Troyon
chosen
Constant Troyon was a 19th-century French painter renowned for his landscapes and animal scenes, associated with the Barbizon school.
-
B.
Guy Trosper
Guy Trosper was an American screenwriter known for his work on mid-20th-century Hollywood films, including several notable dramas and biographical movies.
-
C.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
D.
Leblanc
Leblanc is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables," to conceal his identity.
-
E.
William Barfée
William Barfée is a socially awkward, allergy-prone spelling prodigy known for his “magic foot” spelling technique in the musical comedy *The 25th Annual Putnam County Spelling Bee*.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a5ef848190b6b9a11a3fbdb384 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.