Triple
T22769213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Libatique |
E563207
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Libatique |
—
|
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: Libatique | Statement: [Matthew Libatique, familyName, Libatique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libatique Context triple: [Matthew Libatique, familyName, Libatique]
-
A.
Libatique
chosen
Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
-
B.
Guichen
Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
-
C.
Lacotte
Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
-
D.
Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
-
E.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.