Triple

T4212621
Position Surface form Disambiguated ID Type / Status
Subject The Peg E93939 entity
Predicate hasSpelling P457 FINISHED
Object "The Peg"
The Peg is a named entity whose specific nature or context is not clearly defined beyond its title.
 E421986 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: "The Peg" | Statement: [The Peg, hasSpelling, "The Peg"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "The Peg"
Context triple: [The Peg, hasSpelling, "The Peg"]
  • A. The Pacifier
    The Pacifier is a 2005 family action-comedy film starring Vin Diesel as a Navy SEAL assigned to protect a group of children.
  • B. The Jerk
    The Jerk is a 1979 American comedy film starring Steve Martin as a naive, eccentric man whose rags-to-riches-to-rags journey showcases his signature absurdist humor.
  • C. Deuce Bigalow: Male Gigolo
    Deuce Bigalow: Male Gigolo is a 1999 American comedy film starring Rob Schneider as an inept aquarium cleaner who becomes an unlikely male escort.
  • D. There's Something About Mary
    "There's Something About Mary" is a 1998 romantic comedy film known for its outrageous humor and gross-out gags, starring Ben Stiller and Cameron Diaz.
  • E. Animal Crackers
    Animal Crackers is a 1930 Marx Brothers comedy film known for its rapid-fire wordplay, slapstick humor, and iconic performances by Groucho Marx.
  • 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: "The Peg"
Triple: [The Peg, hasSpelling, "The Peg"]
Generated description
The Peg is a named entity whose specific nature or context is not clearly defined beyond its title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "The Peg"
Target entity description: The Peg is a named entity whose specific nature or context is not clearly defined beyond its title.
  • A. The Pacifier
    The Pacifier is a 2005 family action-comedy film starring Vin Diesel as a Navy SEAL assigned to protect a group of children.
  • B. The Jerk
    The Jerk is a 1979 American comedy film starring Steve Martin as a naive, eccentric man whose rags-to-riches-to-rags journey showcases his signature absurdist humor.
  • C. Deuce Bigalow: Male Gigolo
    Deuce Bigalow: Male Gigolo is a 1999 American comedy film starring Rob Schneider as an inept aquarium cleaner who becomes an unlikely male escort.
  • D. There's Something About Mary
    "There's Something About Mary" is a 1998 romantic comedy film known for its outrageous humor and gross-out gags, starring Ben Stiller and Cameron Diaz.
  • E. Animal Crackers
    Animal Crackers is a 1930 Marx Brothers comedy film known for its rapid-fire wordplay, slapstick humor, and iconic performances by Groucho Marx.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be585848190b0b177b5516f53c1 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59631e2cc8190b1d125b82a81593e completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b5970db8b48190b952d0fa08234f09 completed March 14, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69b59788ef308190a34c2f23f22a7e4d completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.