Triple
T21550575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflections on the Motive Power of Fire |
E531748
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Bachelier |
—
|
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: Bachelier | Statement: [Reflections on the Motive Power of Fire, publisher, Bachelier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachelier Context triple: [Reflections on the Motive Power of Fire, publisher, Bachelier]
-
A.
Bachelier
chosen
Bachelier was a prominent 19th-century French publishing house known for issuing influential scientific and philosophical works.
-
B.
Black–Scholes model
The Black–Scholes model is a fundamental mathematical framework in financial economics for pricing options and other derivatives by modeling asset prices as stochastic processes.
-
C.
Calmann-Lévy
Calmann-Lévy is a historic French publishing house known for its literary catalog and role in French and European publishing.
-
D.
La Bourse
La Bourse is a short story by Honoré de Balzac that portrays the social and emotional intrigues surrounding a modest painter and a mysterious mother-daughter pair in Parisian society.
-
E.
Wentzel
Wentzel is a surname of German origin borne by various notable individuals across different fields.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59258b88190966c18f1f519dad6 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.