Triple

T6818482
Position Surface form Disambiguated ID Type / Status
Subject William Whitehead Watts E156832 entity
Predicate familyName P18 FINISHED
Object Watts E167722 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: Watts | Statement: [William Whitehead Watts, familyName, Watts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watts
Context triple: [William Whitehead Watts, familyName, Watts]
  • A. Watts chosen
    Watts is a surname of English and Scottish origin, often associated with notable figures in science, arts, and public life.
  • B. Watts
    Watts is a historic neighborhood in South Los Angeles known for its cultural significance, diverse community, and landmarks such as the Watts Towers.
  • C. Watts, Los Angeles
    Watts is a historically significant neighborhood in South Los Angeles known for its African American cultural heritage, the Watts Towers art landmark, and the 1965 Watts riots.
  • D. Compton
    Compton is a common English surname borne by various notable individuals in science, politics, and the arts.
  • E. Marshall
    Marshall is a 2017 biographical legal drama film about a young Thurgood Marshall, directed by Reginald Hudlin and starring Chadwick Boseman.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e458d881909fcea55915514eb1 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.