Triple

T9341231
Position Surface form Disambiguated ID Type / Status
Subject Michael Crichton E224766 entity
Predicate notableWork P4 FINISHED
Object Timeline E515424 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: Timeline | Statement: [Michael Crichton, notableWork, Timeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timeline
Context triple: [Michael Crichton, notableWork, Timeline]
  • A. Timeline chosen
    "Timeline" is a 2003 science fiction adventure film based on Michael Crichton's novel, involving archaeologists who travel back to medieval France using experimental time-travel technology.
  • B. Time Lines
    "Time Lines" is a jazz album by pianist and composer Andrew Hill, noted for its intricate compositions and innovative ensemble interplay.
  • C. Timeline panel
    The Timeline panel is a performance profiling tool in Web Inspector that visualizes page activity over time, such as loading, scripting, rendering, and layout events.
  • D. Time
    Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
  • E. Time
    Time is a 1995 song by the American rock band Screaming Trees, featured on their album "Dust."
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bafa9108190889397614756020d completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3f94ab88190a4c5a9129bd2ca14 completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.