Triple

T6043508
Position Surface form Disambiguated ID Type / Status
Subject Freaky Friday E134607 entity
Predicate mainCharacter P1183 FINISHED
Object Ellen Andrews E314996 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: Ellen Andrews | Statement: [Freaky Friday, mainCharacter, Ellen Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Andrews
Context triple: [Freaky Friday, mainCharacter, Ellen Andrews]
  • A. Ellen Andrews chosen
    Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
  • B. Ellen Lacey
    Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
  • C. Ellen Drew
    Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
  • D. Ellen McHugh
    Ellen McHugh is a fictional character appearing in the 1928 silent drama film "Mother Machree."
  • E. Ellen Howard
    Ellen Howard is a notable individual distinguished by achievements significant enough to be recognized as a prominent bearer of the Howard surname.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c988df1e4c8190a46c971a3f9b2d49 completed March 29, 2026, 8:17 p.m.
Created at: March 22, 2026, 4:08 p.m.