Triple

T12875469
Position Surface form Disambiguated ID Type / Status
Subject Matthew Salinger E307953 entity
Predicate hasActedIn P15620 FINISHED
Object The Street E95635 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 Street | Statement: [Matthew Salinger, hasActedIn, The Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Street
Context triple: [Matthew Salinger, hasActedIn, The Street]
  • A. The Street chosen
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • B. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • C. The Big Street
    The Big Street is a 1942 romantic drama film starring Henry Fonda and Lucille Ball, based on a Damon Runyon story and noted for Ball’s acclaimed dramatic performance.
  • D. Remedios Street
    Remedios Street is a notable road in the Malate district of Manila, Philippines, known for its nightlife, restaurants, and cultural landmarks.
  • E. Summer Street
    Summer Street is a major commercial thoroughfare in downtown Boston, Massachusetts, known for its retail shops, offices, and proximity to the Downtown Crossing area.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f97f9c81908c75259a4cab1d3c completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb679f88190a1799b73c3f738b6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.