Triple

T14312947
Position Surface form Disambiguated ID Type / Status
Subject Harold Howland E354877 entity
Predicate hasGivenName P17 FINISHED
Object Harold E9958 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: Harold | Statement: [Harold Howland, hasGivenName, Harold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold
Context triple: [Harold Howland, hasGivenName, Harold]
  • A. Harold chosen
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Harold Crick
    Harold Crick is the meticulous IRS auditor and unsuspecting protagonist of the metafictional film "Stranger Than Fiction," whose life begins mirroring a narrated novel.
  • C. Harold Sylvester
    Harold Sylvester is an American actor best known for his roles in film and television, including a recurring part on the sitcom "Married... with Children."
  • D. Harold Dull
    Harold Dull was an American poet and the creator of Watsu, a form of aquatic bodywork that combines elements of massage, shiatsu, and water therapy.
  • E. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b49e5481909b9ffab2d922e284 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4684e2648190b46328252ac9d51b completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.