Triple

T7437845
Position Surface form Disambiguated ID Type / Status
Subject Annabel Andrews E171663 entity
Predicate conflictWith P4897 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: [Annabel Andrews, conflictWith, Ellen Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Andrews
Context triple: [Annabel Andrews, conflictWith, 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34aa3388190ac300cf934042d78 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10fff477481908c95f371d03b2189 completed April 4, 2026, 1:19 p.m.
Created at: March 27, 2026, 3:13 p.m.