Triple

T13839190
Position Surface form Disambiguated ID Type / Status
Subject La La Anthony E332607 entity
Predicate knownFor P22 FINISHED
Object Double Play E332607 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: Double Play | Statement: [La La Anthony, knownFor, Double Play]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Double Play
Context triple: [La La Anthony, knownFor, Double Play]
  • A. Double Play chosen
    "Double Play" is a film featuring La La Anthony in a prominent role, contributing to her recognition as an actress.
  • B. Play Ball
    "Play Ball" is a hard rock song by Australian band AC/DC, released as the lead single from their 2014 album *Rock or Bust* and widely used in sports broadcasts.
  • C. Doubleback
    "Doubleback" is a 1990 blues-rock song by ZZ Top, best known for its prominent feature in the film *Back to the Future Part III*.
  • D. Two Can Play That Game
    Two Can Play That Game is a 2001 romantic comedy film about modern dating mind games, starring Vivica A. Fox and Morris Chestnut.
  • E. Double Shot
    Double Shot is a high-thrill drop tower ride known for launching riders rapidly up and down to create intense moments of weightlessness.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.