Triple

T2953467
Position Surface form Disambiguated ID Type / Status
Subject The Lost Weekend E79875 entity
Predicate starredActor P5563 FINISHED
Object Phillip Terry E169359 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: Phillip Terry | Statement: [The Lost Weekend, starredActor, Phillip Terry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phillip Terry
Context triple: [The Lost Weekend, starredActor, Phillip Terry]
  • A. Phillip Terry chosen
    Phillip Terry was an American film and television actor active from the 1930s to the 1960s, known for his supporting roles in Hollywood productions.
  • B. Terry Porter
    Terry Porter is a former NBA point guard best known for his leadership and clutch play with the Portland Trail Blazers during their successful late-1980s and early-1990s seasons.
  • C. Roger Craig
    Roger Craig was an American Major League Baseball pitcher and manager best known for managing the San Francisco Giants in the late 1980s and early 1990s.
  • D. Terry Davis
    Terry Davis is a British Labour politician who served as Secretary General of the Council of Europe and was previously a long-standing Member of Parliament in the UK.
  • E. Darryl Philbin
    Darryl Philbin is a laid-back yet sharp-witted warehouse foreman who becomes a key supporting character and later office employee in the U.S. version of The Office.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc82d1248190869beffffc0bf956 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.