Triple
T5680435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbine |
E125184
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | Pierrot |
E23980
|
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: Pierrot | Statement: [Columbine, hasLoveInterest, Pierrot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierrot Context triple: [Columbine, hasLoveInterest, Pierrot]
-
A.
Pierrot
chosen
Pierrot is a traditional stock character from French pantomime and commedia dell’arte, typically portrayed as a sad, white-faced clown in loose white clothing.
-
B.
La Goulue
La Goulue was the stage name of Louise Weber, a famous late-19th-century French can-can dancer at the Moulin Rouge and a popular subject of Toulouse-Lautrec’s posters.
-
C.
Pierre Gringoire
Pierre Gringoire is a struggling poet and playwright who serves as a key viewpoint character and occasional comic figure in Victor Hugo’s novel "Notre-Dame de Paris."
-
D.
Troupe de Monsieur
Troupe de Monsieur was a prominent late-16th-century French acting company patronized by the king’s brother and known for helping establish the foundations of professional theatre in Paris.
-
E.
René de Travière
René de Travière is a fictional character from the swashbuckling adventure film "The Purple Mask," set in post-Napoleonic France.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02397c01081909793bb53ad7cbbce |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dcb28888190affb0982060d5ea8 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:44 p.m.