Triple
T8719795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre-Dame de Paris (1998 musical) |
E206982
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Clopin |
E674183
|
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: Clopin | Statement: [Notre-Dame de Paris (1998 musical), hasCharacter, Clopin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clopin Context triple: [Notre-Dame de Paris (1998 musical), hasCharacter, Clopin]
-
A.
Clopin
chosen
Clopin is the colorful, charismatic leader of the gypsies and narrator figure in the stage musical adaptation of "The Hunchback of Notre Dame."
-
B.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
C.
Clapis
Clapis is a rock climbing sector located in the Dentelles de Montmirail limestone massif in southeastern France, known for its scenic routes and varied sport climbs.
-
D.
Chabreloche
Chabreloche is a small commune in central France’s Puy-de-Dôme department, known for its location in the mountainous Auvergne region.
-
E.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.