Triple

T11077906
Position Surface form Disambiguated ID Type / Status
Subject Antares E261914 entity
Predicate name P16 FINISHED
Object Antares E472715 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: Antares | Statement: [Antares, name, Antares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antares
Context triple: [Antares, name, Antares]
  • A. Antares
    Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
  • B. Antares chosen
    Antares is a bright red supergiant star, one of the largest and most luminous visible to the naked eye, located in the constellation Scorpius.
  • 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
    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.
  • E. 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."
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999407288190a901d4a2427a2102 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8d4f22881909fa3d094a19b0a14 completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:27 p.m.