Triple

T10834431
Position Surface form Disambiguated ID Type / Status
Subject William Grady Little E255713 entity
Predicate givenName P17 FINISHED
Object Grady E172705 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: Grady | Statement: [William Grady Little, givenName, Grady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grady
Context triple: [William Grady Little, givenName, Grady]
  • A. Grady chosen
    Grady is a masculine given name of Irish origin, often used in English-speaking countries.
  • B. Griffin
    The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
  • C. Griffin
    Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • D. Griffin
    The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
  • E. Griffin
    Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74425447081908fb51c7edf54af67 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb11a264c8190829ff89f0b13d063 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.