Triple

T12088845
Position Surface form Disambiguated ID Type / Status
Subject Helen B. Warner Prize for Astronomy E287882 entity
Predicate notableRecipient P108 FINISHED
Object Sandra Faber E47867 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: Sandra Faber | Statement: [Helen B. Warner Prize for Astronomy, notableRecipient, Sandra Faber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Faber
Context triple: [Helen B. Warner Prize for Astronomy, notableRecipient, Sandra Faber]
  • A. Sandra Faber chosen
    Sandra Faber is an influential American astronomer and cosmologist renowned for her work on galaxy formation, dark matter, and the Faber–Jackson relation.
  • B. Sandra Jo Tinsley
    Sandra Jo Tinsley is best known as the wife of American actor Forrest Tucker, a popular film and television star active from the 1940s through the 1970s.
  • C. Vera Rubin
    Vera Rubin was an American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • D. Margaret Burbidge
    Margaret Burbidge was a pioneering British-American astrophysicist whose work on stellar nucleosynthesis and quasars helped transform modern astronomy and cosmology.
  • E. Maret Einasto
    Maret Einasto is an Estonian politician known for her involvement in national and local governance.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915161f848190a6355c1e372eadaa completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6d74888190aab150f1ceb2e9f1 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.