Triple

T13106845
Position Surface form Disambiguated ID Type / Status
Subject Think (1989 version) E310863 entity
Predicate title P38 FINISHED
Object Think E5664 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: Think | Statement: [Think (1989 version), title, Think]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Think
Context triple: [Think (1989 version), title, Think]
  • A. Think chosen
    Think is IBM’s iconic corporate slogan encapsulating its emphasis on innovation, problem-solving, and forward-looking technology.
  • B. Think
    "Think" is a 1968 soul anthem by Aretha Franklin, celebrated for its powerful vocals and feminist, freedom-focused message.
  • C. Thinking
    Thinking is the first volume of Hannah Arendt’s philosophical work *The Life of the Mind*, in which she explores the nature, role, and implications of the activity of thought.
  • D. Thought and thinking
    Thought and thinking encompass the mental processes by which humans perceive, interpret, reason about, and generate ideas in response to the world.
  • E. Deep Thinking
    Deep Thinking is a book by former world chess champion Garry Kasparov that reflects on his matches against IBM’s Deep Blue and explores the broader implications of artificial intelligence for chess and human creativity.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.