Triple

T17888084
Position Surface form Disambiguated ID Type / Status
Subject Flashpoint E447245 entity
Predicate featuresCharacter P626 FINISHED
Object Abin Sur 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: Abin Sur | Statement: [Flashpoint, featuresCharacter, Abin Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abin Sur
Context triple: [Flashpoint, featuresCharacter, Abin Sur]
  • A. Abin Sur chosen
    Abin Sur is a DC Comics alien Green Lantern who serves as Hal Jordan’s predecessor and whose death leads to Jordan inheriting the Green Lantern power ring.
  • B. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • C. Abisare
    Abisare was an early 2nd-millennium BCE king of the ancient Mesopotamian city-state of Larsa, known for consolidating its power in southern Babylonia.
  • D. Abodi
    Abodi is the traditional royal title held by the paramount ruler of the Ikale people of southwestern Nigeria.
  • E. Abbasanta
    Abbasanta is a small town in central Sardinia, Italy, known for its proximity to important Nuragic archaeological sites and its traditional rural character.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.