Triple

T11748164
Position Surface form Disambiguated ID Type / Status
Subject Woods family E279336 entity
Predicate hasMember P10 FINISHED
Object Herbert Woods E1129633 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: Herbert Woods | Statement: [Woods family, hasMember, Herbert Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Woods
Context triple: [Woods family, hasMember, Herbert Woods]
  • A. Herbert Woods chosen
    Herbert Woods is best known as the husband of renowned American harpist and businesswoman Sylvia Woods.
  • B. Herbert Horne
    Herbert Horne was a British designer, typographer, art historian, and key figure in the Arts and Crafts movement who helped shape late 19th-century artistic and craft reform in England.
  • C. Charles Herbert
    Charles Herbert was an American child actor best known for his prolific film and television work in the late 1950s and early 1960s.
  • D. Lewis M. Rutherfurd
    Lewis M. Rutherfurd was a 19th-century American lawyer-turned-astronomer and pioneering astrophotographer known for his influential work in celestial photography and astronomical instrumentation.
  • E. Frank W. Gibb
    Frank W. Gibb was an American architect known for designing prominent public buildings in Arkansas in the late 19th and early 20th centuries.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db383cc8190b1c65d202785838a completed May 9, 2026, 2:36 a.m.
Created at: April 8, 2026, 9:41 p.m.