Triple

T10776353
Position Surface form Disambiguated ID Type / Status
Subject Midnight in Paris E254207 entity
Predicate mainCharacter P1183 FINISHED
Object Gil Pender E365682 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: Gil Pender | Statement: [Midnight in Paris, mainCharacter, Gil Pender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gil Pender
Context triple: [Midnight in Paris, mainCharacter, Gil Pender]
  • A. Gil Pender chosen
    Gil Pender is the nostalgic, time-traveling screenwriter protagonist of Woody Allen’s film "Midnight in Paris," portrayed by Owen Wilson.
  • B. Kristopher Steven Keach
    Kristopher Steven Keach is one of the twin sons of English-American actress Jane Seymour and her former husband, actor-director James Keach.
  • C. Dylan Walsh
    Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
  • D. Andrew Dorff
    Andrew Dorff was an American country music songwriter known for penning hits for artists such as Blake Shelton, Kenny Chesney, and Rascal Flatts.
  • E. Parker Jaren O'Donnell
    Parker Jaren O'Donnell is the eldest son of American comedian and television personality Rosie O'Donnell, known publicly through his mother's high-profile career and family life in the media.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.