Triple

T14378656
Position Surface form Disambiguated ID Type / Status
Subject Fabian Forte E356541 entity
Predicate notableWork P4 FINISHED
Object High Time E270882 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: High Time | Statement: [Fabian Forte, notableWork, High Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Time
Context triple: [Fabian Forte, notableWork, High Time]
  • A. High Time chosen
    High Time is a 1960 American comedy film starring Bing Crosby as a middle-aged man who enrolls in college, with lyrics for its title song written by Sammy Cahn.
  • B. High for This
    "High for This" is the atmospheric opening track by Canadian singer The Weeknd, known for its dark, moody production and themes of seduction and intoxication.
  • C. Hang Time
    Hang Time is a film by British-Nigerian director Ngozi Onwurah that explores themes of race, identity, and cultural displacement.
  • D. Hang Time
    Hang Time is an American teen sitcom centered on a high school basketball team, known in part for featuring NFL legend Dick Butkus as a coach.
  • E. Time-Flight
    Time-Flight is a 1982 Doctor Who serial featuring the Fifth Doctor, notable for its Concorde-based time-travel plot and its controversial reputation among fans.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.