Triple

T4757141
Position Surface form Disambiguated ID Type / Status
Subject Thanatos E105615 entity
Predicate sibling P363 FINISHED
Object The Keres E249771 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: The Keres | Statement: [Thanatos, sibling, The Keres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Keres
Context triple: [Thanatos, sibling, The Keres]
  • A. Keres chosen
    Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
  • B. Katurian
    Katurian is the troubled fiction writer at the center of Martin McDonagh’s dark play "The Pillowman," whose disturbing stories become entangled with a series of real-life crimes.
  • C. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • D. Konjara
    Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Keteyian
    Keteyian is the surname of Armen Keteyian, an American television journalist and author known for his investigative sports reporting.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a72ba908190ad9b423aea2a22b8 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.