Triple

T19034610
Position Surface form Disambiguated ID Type / Status
Subject Texas Book Festival E465832 entity
Predicate foundedBy P104 FINISHED
Object Mary Margaret Farabee 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: Mary Margaret Farabee | Statement: [Texas Book Festival, foundedBy, Mary Margaret Farabee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Margaret Farabee
Context triple: [Texas Book Festival, foundedBy, Mary Margaret Farabee]
  • A. Mary Margaret Farabee chosen
    Mary Margaret Farabee was a Texas cultural leader and philanthropist best known for co-founding the Texas Book Festival to promote literature and support libraries.
  • B. Mary Anne Farley
    Mary Anne Farley is best known as the mother of the late American comedian and actor Chris Farley.
  • C. Mary R. Haas
    Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
  • D. June M. Briggs
    June M. Briggs is an individual honored as the namesake of the Lloyd C. and June M. Briggs Wing, indicating her significant contribution or connection to the institution that houses it.
  • E. Mary M. Wyman
    Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d74295b88190b1c4621735a06223 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.