Triple
T22753975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamma Eridani |
E562785
|
entity |
| Predicate | traditionalName |
P17611
|
FINISHED |
| Object | Zaurak |
—
|
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: Zaurak | Statement: [Gamma Eridani, traditionalName, Zaurak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaurak Context triple: [Gamma Eridani, traditionalName, Zaurak]
-
A.
Zaurak
chosen
Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
-
B.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
C.
Zarak
Zarak is a French Group 1-winning Thoroughbred racehorse and successful stallion, known as one of the top-class sons of leading sire Dubawi.
-
D.
Dazaga
Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
-
E.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.