Triple

T19121063
Position Surface form Disambiguated ID Type / Status
Subject Richard Shepard E468043 entity
Predicate wrote P2831 FINISHED
Object Oxygen 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: Oxygen | Statement: [Richard Shepard, wrote, Oxygen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxygen
Context triple: [Richard Shepard, wrote, Oxygen]
  • A. Oxygen
    Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
  • B. Oxygen chosen
    Oxygen is a 2021 French survival thriller film directed by Alexandre Aja, starring Mélanie Laurent as a woman who wakes up in a cryogenic chamber with no memory and limited time to escape.
  • C. O2
    O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
  • D. O2
    O2 is the second observing run of the LIGO–Virgo gravitational-wave detectors, during which multiple gravitational-wave events from compact binary mergers were detected.
  • E. Ozone
    Ozone is a platform abstraction layer in Chromium that provides a unified interface for low-level windowing, input, and graphics operations across different operating systems and display systems.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c921d4819092e2ae237bf85978 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.