Triple

T12911655
Position Surface form Disambiguated ID Type / Status
Subject H.I.V.E. Five E308877 entity
Predicate employerOf P7 FINISHED
Object See-More E1009893 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: See-More | Statement: [H.I.V.E. Five, employerOf, See-More]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: See-More
Context triple: [H.I.V.E. Five, employerOf, See-More]
  • A. See-More chosen
    See-More is a minor supervillain from DC Comics' Teen Titans franchise, known for his helmet that grants him various enhanced visual powers and his membership in the H.I.V.E. Five.
  • B. Murphey
    Murphey is a less common spelling variant of the surname Murphy, which is of Irish origin.
  • C. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • D. Sogoo
    Sogoo is an alternative name for the Omotik language spoken by the Omotik people of Kenya.
  • E. Cornier
    Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.