Triple

T6262668
Position Surface form Disambiguated ID Type / Status
Subject Norman Taurog E140336 entity
Predicate directed P7373 FINISHED
Object Presenting Lily Mars E338709 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: Presenting Lily Mars | Statement: [Norman Taurog, directed, Presenting Lily Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presenting Lily Mars
Context triple: [Norman Taurog, directed, Presenting Lily Mars]
  • A. Presenting Lily Mars chosen
    Presenting Lily Mars is a 1943 MGM musical film starring Judy Garland as an aspiring actress trying to break into Broadway.
  • B. Lily, Rosemary and the Jack of Hearts
    "Lily, Rosemary and the Jack of Hearts" is a long, narrative-driven Bob Dylan song that weaves a complex tale of love, betrayal, and crime in a Western saloon setting.
  • C. Lily
    Lily is a woman romantically involved with Frank Money in Toni Morrison’s novel "Home."
  • D. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
  • E. Lily
    Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5192b99d4819083ab6e6f2092547b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:25 p.m.