Triple

T2517384
Position Surface form Disambiguated ID Type / Status
Subject Catch Me If You Can E55443 entity
Predicate producer P490 FINISHED
Object Walter F. Parkes E444047 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: Walter F. Parkes | Statement: [Catch Me If You Can, producer, Walter F. Parkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter F. Parkes
Context triple: [Catch Me If You Can, producer, Walter F. Parkes]
  • A. Walter F. Parkes chosen
    Walter F. Parkes is an American film producer and screenwriter known for overseeing major Hollywood projects such as the "Men in Black" series and serving as head of DreamWorks' motion picture division.
  • B. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • C. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • D. Roger D. Lapham
    Roger D. Lapham was an American shipping executive and politician who served as mayor of San Francisco in the 1940s.
  • E. George L. Dahl
    George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2111d28819099884a2bec5e0366 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfc60426248190947e1c58fe4dd1b1 completed March 22, 2026, 10:35 a.m.
Created at: March 6, 2026, 9:46 p.m.