Triple

T2658958
Position Surface form Disambiguated ID Type / Status
Subject Jack Dawson E54680 entity
Predicate fullName P16 FINISHED
Object Jack Dawson E54680 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: Jack Dawson | Statement: [Jack Dawson, fullName, Jack Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Dawson
Context triple: [Jack Dawson, fullName, Jack Dawson]
  • A. Jack Dawson chosen
    Jack Dawson is the fictional, free-spirited young artist who serves as the male lead and tragic love interest in the 1997 film "Titanic."
  • B. Chuck Noland
    Chuck Noland is the stranded FedEx systems engineer portrayed by Tom Hanks in the survival drama film "Cast Away," known for his solitary struggle to survive on a deserted island.
  • C. Rick O’Connell
    Rick O’Connell is the adventurous, wisecracking American explorer and former soldier who serves as the main hero of The Mummy film series.
  • D. John Howland
    John Howland was an English colonist and Mayflower passenger who became a prominent early settler and leader in Plymouth Colony.
  • E. Will Parker
    Will Parker is a cheerful, somewhat naive cowboy and rodeo performer who provides comic relief and romantic subplots in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94dcaa48190aec625f68ce61a02 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d765c48190a227137467b7dbe1 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.