Triple

T11544104
Position Surface form Disambiguated ID Type / Status
Subject Zerg E273739 entity
Predicate primaryLeader P34804 FINISHED
Object Kerrigan E750227 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: Kerrigan | Statement: [Zerg, primaryLeader, Kerrigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerrigan
Context triple: [Zerg, primaryLeader, Kerrigan]
  • A. Sarah Kerrigan chosen
    Sarah Kerrigan is a central character in the StarCraft universe, known as the former Terran Ghost operative who becomes the fearsome Zerg-infested Queen of Blades.
  • B. Major Mira Killian
    Major Mira Killian is the cybernetically enhanced counterterrorism operative and central protagonist of the 2017 live-action film adaptation of Ghost in the Shell.
  • C. Kalai Strode
    Kalai Strode is the child of American actor and athlete Woody Strode, known primarily in relation to his father's legacy.
  • D. Zarya
    Zarya is the first module of the International Space Station, providing initial power, propulsion, and guidance functions for the orbiting laboratory.
  • E. Zarya
    Zarya was a 19th-century Russian literary journal that published notable works by authors such as Fyodor Dostoevsky.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e1d754819089f3b6be3404fa0b completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e685cc855881908ea96d84c76e3a4d completed April 20, 2026, 8 p.m.
Created at: April 8, 2026, 9:37 p.m.