Triple

T13369916
Position Surface form Disambiguated ID Type / Status
Subject Krypton (TV series) E319033 entity
Predicate character P662 FINISHED
Object Lobo E963480 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: Lobo | Statement: [Krypton (TV series), character, Lobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobo
Context triple: [Krypton (TV series), character, Lobo]
  • A. Lobo
    Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
  • B. Lobo
    Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
  • C. Lobo chosen
    Lobo is a violent, wisecracking intergalactic bounty hunter and antihero from DC Comics known for his immense strength, regenerative abilities, and over-the-top brutality.
  • D. Loup
    The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
  • E. Lobos
    Lobos is the commonly used nickname for the Mexican football club Lobos BUAP, historically associated with the Benemérita Universidad Autónoma de Puebla.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72682c7f08190b8553ca22734df27 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.