Triple

T4716679
Position Surface form Disambiguated ID Type / Status
Subject John William Ferrell E104657 entity
Predicate notableWork P4 FINISHED
Object Elf E60344 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: Elf | Statement: [John William Ferrell, notableWork, Elf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elf
Context triple: [John William Ferrell, notableWork, Elf]
  • A. Elf chosen
    Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
  • B. ELF
    ELF (Executable and Linkable Format) is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
  • C. Elves
    Elves are a long-lived, magically attuned humanoid race often depicted as graceful, wise, and closely connected to nature.
  • D. Fey
    Fey is the surname of American comedian, writer, actress, and producer Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
  • E. Geist
    Geist is the central Hegelian concept denoting "spirit" or "mind," encompassing collective consciousness, culture, and the unfolding of rational freedom in history.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd640a32ec8190850146957885c3cf completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1088103c819098296ce700697e90 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.