Triple
T19261421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beta Centauri |
E481657
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Hadar |
—
|
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: Hadar | Statement: [Beta Centauri, alsoKnownAs, Hadar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadar Context triple: [Beta Centauri, alsoKnownAs, Hadar]
-
A.
Hadar
Hadar is a minor biblical figure listed in the Book of Genesis among the early Edomite kings descended from Esau.
-
B.
Hadar
chosen
Hadar is a prominent blue-white giant star, also known as Beta Centauri, and one of the brightest stars in the southern sky.
-
C.
Hadariba
Hadariba are an ethnic group of the Horn of Africa closely associated with the Beni-Amir people, sharing regional, cultural, and historical ties.
-
D.
Hoëdic
Hoëdic is a small, sparsely populated island off the coast of Brittany in northwestern France, known for its unspoiled natural landscapes and traditional fishing heritage.
-
E.
Riwia Brown
Riwia Brown is a New Zealand screenwriter best known for adapting Alan Duff’s novel into the acclaimed film "Once Were Warriors."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.