Triple

T14258669
Position Surface form Disambiguated ID Type / Status
Subject Frankie Heck E353452 entity
Predicate familyName P18 FINISHED
Object Heck E1086300 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: Heck | Statement: [Frankie Heck, familyName, Heck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heck
Context triple: [Frankie Heck, familyName, Heck]
  • A. Heck chosen
    Heck is a surname most notably associated with Richard F. Heck, the Nobel Prize–winning chemist known for the Heck reaction in organic chemistry.
  • B. Hick
    Hick is a 2011 coming-of-age drama film about a young Nebraska girl who hitchhikes to Las Vegas and encounters a series of dangerous and transformative experiences.
  • C. Yank
    Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
  • D. Heckerling
    Heckerling is the surname of American film director and screenwriter Amy Heckerling, known for works like "Fast Times at Ridgemont High" and "Clueless."
  • E. Heckman
    Heckman is a surname most prominently associated with Nobel Prize–winning economist James J. Heckman, known for his work on econometrics and labor economics.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3260fdf88190b482480a17bd6674 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.