Triple

T6513131
Position Surface form Disambiguated ID Type / Status
Subject Zooey Deschanel E148184 entity
Predicate notableWork P4 FINISHED
Object Elf
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.
 E60344 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: Elf | Statement: [Zooey Deschanel, notableWork, Elf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elf
Context triple: [Zooey Deschanel, notableWork, Elf]
  • A. Elf
    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. 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: Elf
Triple: [Zooey Deschanel, notableWork, Elf]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elf
Target entity description: 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.
  • 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.

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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb69ca0c8190954dbe6c627981f3 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:44 p.m.