Triple

T17311454
Position Surface form Disambiguated ID Type / Status
Subject Hettie MacDonald E420306 entity
Predicate directed P7373 FINISHED
Object Blink E1014063 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: Blink | Statement: [Hettie MacDonald, directed, Blink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blink
Context triple: [Hettie MacDonald, directed, Blink]
  • A. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • B. Blink
    Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
  • C. Blink
    "Blink" is a widely acclaimed, time-bending episode of the British science fiction series Doctor Who, renowned for introducing the terrifying Weeping Angels and its minimal use of the Doctor.
  • D. Blink
    Blink is Tracer’s signature short-range teleportation move in Overwatch, allowing her to rapidly reposition in quick bursts.
  • E. Blink chosen
    "Blink" is a 1994 neo-noir thriller film about a partially restored blind woman who becomes entangled in a murder investigation after believing she has witnessed a crime.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439993bac8190a72f6af529bd7cce completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4603f88190a713bf8260329ac3 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.