Triple

T23349202
Position Surface form Disambiguated ID Type / Status
Subject Hans Michael Finger E591958 entity
Predicate familyName P18 FINISHED
Object Finger NE NERFINISHED

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: Finger | Statement: [Hans Michael Finger, familyName, Finger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finger
Context triple: [Hans Michael Finger, familyName, Finger]
  • A. Finger chosen
    Finger is a common English surname borne by various individuals, including comic book writer Bill Finger.
  • B. Fingers
    "Fingers" is a 1978 American crime drama film about a troubled debt collector and aspiring pianist, directed by James Toback and starring Harvey Keitel.
  • C. The Finger
    The Finger is a character or persona also known as L.O.V.E., likely associated with a creative or entertainment work where this alias is used.
  • D. Two Fingers
    Two Fingers is a collaborative electronic music project known for its bass-heavy, genre-blending productions, primarily involving producer Amon Tobin.
  • E. The Finger Points
    The Finger Points is a 1931 American pre-Code crime drama film about a naive reporter who becomes entangled with gangsters and corruption in the newspaper world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.