Triple

T17177737
Position Surface form Disambiguated ID Type / Status
Subject Yesterday, Today and Tomorrow E416903 entity
Predicate mainCharacter P1183 FINISHED
Object Mara E1096028 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: Mara | Statement: [Yesterday, Today and Tomorrow, mainCharacter, Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara
Context triple: [Yesterday, Today and Tomorrow, mainCharacter, Mara]
  • A. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • B. Mara
    Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
  • C. Mara
    "Mara" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic mood.
  • D. Mara chosen
    Mara is a character portrayed by actress Alice Englert, likely in a film or television production.
  • E. Mara
    The Mara is a malevolent, mind-controlling entity from the Doctor Who universe that haunts the dreams and fears of its victims, notably opposing the Fifth Doctor.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148455afc8190931ba1316705ae0c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.