Triple

T13974867
Position Surface form Disambiguated ID Type / Status
Subject Lake Ray Hubbard E336160 entity
Predicate namedAfter P63 FINISHED
Object Ray Hubbard E812572 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: Ray Hubbard | Statement: [Lake Ray Hubbard, namedAfter, Ray Hubbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Hubbard
Context triple: [Lake Ray Hubbard, namedAfter, Ray Hubbard]
  • A. Ray Hubbard
    Ray Hubbard was a prominent local figure in Texas, likely a civic leader or public official, for whom Lake Ray Hubbard near Dallas was named.
  • B. David Allan Hubbard
    David Allan Hubbard was an American Old Testament scholar and longtime president of Fuller Theological Seminary, known for his influential leadership in evangelical theological education.
  • C. Don Hubbard
    Don Hubbard is an individual notable enough to be recognized as a significant bearer of the surname Hubbard, though specific widely known public details about him are limited.
  • D. Ray W. Hubbard chosen
    Ray W. Hubbard is an American politician who served as a member of the Texas House of Representatives.
  • E. Jerry Hubbard
    Jerry Hubbard is a bumbling, good-natured sidekick and co-host on the satirical talk show parody "Fernwood 2 Night."
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8fd6d48190a157eae8df3a2f3a completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac90250881908f1945793d261752 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.