Triple

T7560296
Position Surface form Disambiguated ID Type / Status
Subject Captain Ed Mercer E178775 entity
Predicate hasSecurityChief P74264 FINISHED
Object Talla Keyali E31726 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: Talla Keyali | Statement: [Captain Ed Mercer, hasSecurityChief, Talla Keyali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talla Keyali
Context triple: [Captain Ed Mercer, hasSecurityChief, Talla Keyali]
  • A. Talla Keyali chosen
    Talla Keyali is a Xelayan security officer on the science fiction comedy-drama series "The Orville," known for her superhuman strength and role on the ship’s senior staff.
  • B. Baram Kayan
    Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
  • C. Barka Kunama
    Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
  • D. Kivili
    Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
  • E. Hulhumalé
    Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c7017134608190bd51fb2d0ab1ff34 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856cc869081909555ae03dec52288 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.