Triple

T16623736
Position Surface form Disambiguated ID Type / Status
Subject Secret Society E403893 entity
Predicate hasMember P10 FINISHED
Object Star Sapphire E1025195 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: Star Sapphire | Statement: [Secret Society, hasMember, Star Sapphire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Sapphire
Context triple: [Secret Society, hasMember, Star Sapphire]
  • A. Star Sapphire chosen
    Star Sapphire is a recurring DC Comics supervillain and enemy of Green Lantern who wields a powerful, emotion-fueled violet power ring.
  • B. Red Diamond
    Red Diamond is the nickname of the U.S. Army's 5th Infantry Division, a historic combat unit known for its service in major 20th-century conflicts.
  • C. Dazzler
    Dazzler is a Marvel Comics superheroine and mutant pop star who converts sound into powerful light-based energy.
  • D. Silk Spectre I
    Silk Spectre I is the original costumed crimefighter alter ego of Sally Jupiter in the Watchmen universe, a pioneering female superhero whose legacy inspires her daughter, Silk Spectre II.
  • E. Sapphire
    Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37550ee308190931fd50aeebe1e7e completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b7b94481909dfc0dd7b009a5b4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.