Triple

T12992193
Position Surface form Disambiguated ID Type / Status
Subject Michael Apted E321931 entity
Predicate directed P7373 FINISHED
Object Blink
"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.
 E1014063 NE FINISHED

How this triple was built (4 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: [Michael Apted, directed, Blink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blink
Context triple: [Michael Apted, 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
    Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blink
Triple: [Michael Apted, directed, Blink]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blink
Target entity description: "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.
  • 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 the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
  • D. 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.
  • E. Blink
    Blink is Tracer’s signature short-range teleportation move in Overwatch, allowing her to rapidly reposition in quick bursts.
  • F. None of above. chosen

Provenance (5 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6baa76e8c8190b84fd31657ef3385 completed May 3, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:44 p.m.