Triple

T2687144
Position Surface form Disambiguated ID Type / Status
Subject Leslie E. Robertson E57509 entity
Predicate notableStudentOrCollaborator P25977 FINISHED
Object SawTeen See E288669 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: SawTeen See | Statement: [Leslie E. Robertson, notableStudentOrCollaborator, SawTeen See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SawTeen See
Context triple: [Leslie E. Robertson, notableStudentOrCollaborator, SawTeen See]
  • A. SawTeen See chosen
    SawTeen See is a prominent structural engineer known for her work on major skyscraper projects and for her long professional and personal partnership with fellow engineer Leslie E. Robertson.
  • B. Saw
    Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
  • C. Saw II
    Saw II is a 2005 horror film in the Saw franchise, known for its elaborate death traps and psychological games orchestrated by the serial killer Jigsaw.
  • D. Saw Sea
    The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
  • E. Scream VI
    Scream VI is a 2023 American slasher film in the long-running Scream franchise, following survivors of the previous installment as they face a new Ghostface killer in New York City.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f080108190ab662a3a064cb5a9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5b19b88190982a669501463fa9 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.