Triple

T23352577
Position Surface form Disambiguated ID Type / Status
Subject TACAMO E592954 entity
Predicate relatedProgram P37 FINISHED
Object Looking Glass NE NERFINISHED

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: Looking Glass | Statement: [TACAMO, relatedProgram, Looking Glass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Looking Glass
Context triple: [TACAMO, relatedProgram, Looking Glass]
  • A. Looking Glass
    Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
  • B. Looking Glass
    Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
  • C. Looking Glass chosen
    Looking Glass is the callsign for the U.S. Navy’s Boeing E-6 Mercury aircraft that serves as an airborne command post for nuclear command and control operations.
  • D. Looking Glass
    "Looking Glass" is a song by the American rock band Radio.
  • E. The Glasses
    "The Glasses" is an episode of the television sitcom Seinfeld that centers on George’s mishaps after losing his eyeglasses and misinterpreting what he sees without them.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a14e04c81909c007b97cf5378b6 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.