Triple

T13934262
Position Surface form Disambiguated ID Type / Status
Subject Zohra Lampert E335073 entity
Predicate notableWork P4 FINISHED
Object The Girl Most Likely To... E638082 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: The Girl Most Likely To... | Statement: [Zohra Lampert, notableWork, The Girl Most Likely To...]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Girl Most Likely To...
Context triple: [Zohra Lampert, notableWork, The Girl Most Likely To...]
  • A. The Girl Most Likely chosen
    The Girl Most Likely is a 1957 Technicolor musical romantic comedy film best known as the final movie produced by RKO Radio Pictures, starring Jane Powell as a young woman juggling multiple suitors.
  • B. Girl Most Likely
    Girl Most Likely is a 2012 American comedy-drama film about a failed New York playwright who fakes a suicide attempt and is forced to move back in with her eccentric family in New Jersey.
  • C. Getting the Girl
    Getting the Girl is a young adult novel by Markus Zusak that follows a teenage boy navigating love, friendship, and identity in suburban Australia.
  • D. Lucky Girl
    "Lucky Girl" is a song by the artist Rumble Doll, likely within the pop or rock genre.
  • E. The Good Girl
    The Good Girl is a 2002 indie drama film starring Jennifer Aniston as a disillusioned small-town store clerk whose affair with a younger coworker upends her stagnant life.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce865ab4819088221189344b3801 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.