Triple
T6094929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saiph |
E135853
|
entity |
| Predicate | constellation |
P9993
|
FINISHED |
| Object | Orion |
E24193
|
NE FINISHED |
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: Orion | Statement: [Saiph, constellation, Orion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orion Context triple: [Saiph, constellation, Orion]
-
A.
Orion
chosen
Orion is a prominent constellation in the night sky, easily recognized by its three-star belt and associated in many cultures with the figure of a hunter.
-
B.
Orion
Orion is an American film production and distribution company known for releasing acclaimed movies such as "The Silence of the Lambs," "Amadeus," and "Dances with Wolves."
-
C.
Orion
Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
-
D.
Orion Black
Orion Black is a minor Harry Potter character, a pure-blood wizard from the aristocratic Black family and the strict, traditionalist father of Sirius Black.
-
E.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603d438e48190b62c3b7210c2dbec |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:12 p.m.