Triple

T16875531
Position Surface form Disambiguated ID Type / Status
Subject Frank Launder E421288 entity
Predicate notableWork P4 FINISHED
Object Millions Like Us E1238142 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: Millions Like Us | Statement: [Frank Launder, notableWork, Millions Like Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Millions Like Us
Context triple: [Frank Launder, notableWork, Millions Like Us]
  • A. Millions Like Us chosen
    Millions Like Us is a 1943 British World War II drama film depicting the lives and relationships of women working in a wartime factory on the home front.
  • B. Music for Millions
    Music for Millions is a 1944 American musical comedy-drama film best known for its heartwarming World War II-era story and ensemble cast, including Phillip Terry.
  • C. People Like Us
    People Like Us is a 2012 American drama film about a man who discovers he has a previously unknown half-sister after his father's death.
  • D. People Like Us
    People Like Us is a musical act connected to the British rock band Supertramp, likely involving collaborations or shared members.
  • E. People Like Us
    People Like Us is a stage play written by British actor and playwright Frank Vosper.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a451708190897bb3332c1e7457 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.