Triple

T17015333
Position Surface form Disambiguated ID Type / Status
Subject Under the Rainbow E412805 entity
Predicate hasCastMember P2308 FINISHED
Object Joseph Maher E1246700 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: Joseph Maher | Statement: [Under the Rainbow, hasCastMember, Joseph Maher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Maher
Context triple: [Under the Rainbow, hasCastMember, Joseph Maher]
  • A. Joseph Maher chosen
    Joseph Maher was an Irish-born character actor known for his work in American film, television, and theater, often portraying refined, eccentric, or comedic supporting roles.
  • B. Sean Mahon
    Sean Mahon is an Irish actor known for his work in film, television, and theatre, including a role in the acclaimed drama "Philomena."
  • C. Ken Maher
    Ken Maher is an Australian architect and urban designer known for his influential public and civic projects, sustainable design leadership, and prominent role in shaping contemporary Australian architecture.
  • D. Ed McLaughlin
    Ed McLaughlin is an American college athletics administrator best known as the athletic director at Virginia Commonwealth University (VCU).
  • E. Hugh McDermott
    Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233311648190b5f8a8e7c209d124 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.