Triple

T16146781
Position Surface form Disambiguated ID Type / Status
Subject Taylor Momsen E391803 entity
Predicate film P9968 FINISHED
Object Underdog E1196925 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: Underdog | Statement: [Taylor Momsen, film, Underdog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Underdog
Context triple: [Taylor Momsen, film, Underdog]
  • A. Underdog
    "Underdog" is a soulful, motivational single by Alicia Keys that celebrates resilience and the strength of overlooked or underestimated people.
  • B. Underdog chosen
    Underdog is a 2007 live-action family superhero comedy film based on the classic animated TV series about a crime-fighting dog.
  • C. Underdog
    "Underdog" is a studio album by the Atlanta Rhythm Section, known for its blend of Southern rock and soft rock styles.
  • D. The Underdog
    The Underdog is a coming-of-age novel by Australian author Markus Zusak that follows a teenage boy navigating family, identity, and growing up in suburban Sydney.
  • E. Beneath the Underdog
    Beneath the Underdog is the controversial, semi-autobiographical memoir of jazz bassist and composer Charles Mingus, chronicling his turbulent life, music, and psyche.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d947e68819081b4b7c757ce71b6 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef2f49081909841a1f9bfbd622b completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.