Triple
T23199639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 69267 |
E579970
|
entity |
| Predicate | hasSIMBADIdentifier |
P69288
|
FINISHED |
| Object | Bet Cnc |
—
|
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: Bet Cnc | Statement: [HD 69267, hasSIMBADIdentifier, Bet Cnc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bet Cnc Context triple: [HD 69267, hasSIMBADIdentifier, Bet Cnc]
-
A.
bet Cnc
chosen
bet Cnc is the Bayer designation for Altarf, a bright K-type giant star in the constellation Cancer.
-
B.
BCNC
BCNC is a community-based nonprofit organization in Boston’s Chinatown that provides education, family support, and social services to Asian immigrant and Asian American residents.
-
C.
Bet
Bet is a character in Mark Twain’s novel "The Prince and the Pauper," a member of John Canty’s impoverished and abusive family.
-
D.
Big Bet
Big Bet is a South Korean crime drama television series centered on a notorious casino kingpin in the Philippines, known for its gritty storytelling and strong performances.
-
E.
Bet I
"Bet I" is a hip hop track by B.o.B featuring T.I. and Playboy Tre, known for its confident lyrics and energetic production.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907835448190aa4fc234d15527c3 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.