Triple
T11477027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raphaël Hallé |
E272048
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Raphaël |
E874297
|
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: Raphaël | Statement: [Raphaël Hallé, givenName, Raphaël]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphaël Context triple: [Raphaël Hallé, givenName, Raphaël]
-
A.
Raphaël de Valentin
Raphaël de Valentin is the tragic protagonist of Honoré de Balzac’s novel "La Peau de chagrin," a young man whose wishes are granted at the cost of his own life force.
-
B.
Raphaël Hallé
Raphaël Hallé is the son of acclaimed French actress Juliette Binoche.
-
C.
Raphael
Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
-
D.
Raphael
Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
-
E.
Raphael
chosen
Raphael is a common masculine given name of Hebrew origin meaning "God has healed," borne by numerous notable figures including artists, scientists, and religious leaders.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e965eebc8190822247b1abc13483 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:36 p.m.