Triple

T15909306
Position Surface form Disambiguated ID Type / Status
Subject Daniel Franzese E385803 entity
Predicate appearedIn P795 FINISHED
Object Looking E334257 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: Looking | Statement: [Daniel Franzese, appearedIn, Looking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Looking
Context triple: [Daniel Franzese, appearedIn, Looking]
  • A. Looking chosen
    Looking is an HBO comedy-drama television series that follows the lives and relationships of a group of gay friends living in San Francisco.
  • B. Look
    Look is a French cycling brand best known for pioneering clipless pedals and innovative carbon fiber bicycle frames used by professional racing teams.
  • C. Look
    "Look" is a critically acclaimed album by American musician and producer Blake Mills, noted for its experimental guitar work and innovative soundscapes.
  • D. Look
    "Look" is a dancehall track by Jamaican deejay Bounty Killer, recognized as one of his popular songs within the genre.
  • E. the look
    The look is Jean-Paul Sartre’s existentialist concept describing how becoming aware of another’s gaze reveals our own objectification and shapes our sense of self.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.