Triple
T20701269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hikaru Kato Sulu |
E508787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sulu |
—
|
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: Sulu | Statement: [Hikaru Kato Sulu, familyName, Sulu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulu Context triple: [Hikaru Kato Sulu, familyName, Sulu]
-
A.
Sulu
Sulu is an island province in the southern Philippines known for its predominantly Muslim population, rich Tausug culture, and historical role as the center of the Sultanate of Sulu.
-
B.
Sulu
chosen
Sulu is a Starfleet officer and helmsman of the starship USS Enterprise in the Star Trek franchise, best known for his calm professionalism and skilled piloting.
-
C.
Suluq
Suluq is a town in northeastern Libya historically known as the site where anti-colonial resistance leader Omar Mukhtar was executed by Italian authorities in 1931.
-
D.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
E.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.