Triple

T13236378
Position Surface form Disambiguated ID Type / Status
Subject Come September E315155 entity
Predicate hasCharacter P2308 FINISHED
Object Tony
Tony is a fictional character appearing in the romantic comedy film "Come September."
E1029126 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: Tony | Statement: [Come September, hasCharacter, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony
Context triple: [Come September, hasCharacter, Tony]
  • A. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • B. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • C. Tony
    Tony is the humanoid robot protagonist of Isaac Asimov’s science fiction short story “Satisfaction Guaranteed,” designed to interact closely with humans and explore the emotional and ethical implications of human–robot relationships.
  • D. Tony
    Tony is a character from the British stage play and film "Abigail's Party," known as the quiet, awkward husband of Angela whose subdued demeanor contrasts with the play’s more overbearing personalities.
  • E. Tony
    Tony is a fictional character appearing in the Marx Brothers comedy film "A Day at the Races."
  • 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: Tony
Triple: [Come September, hasCharacter, Tony]
Generated description
Tony is a fictional character appearing in the romantic comedy film "Come September."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tony
Target entity description: Tony is a fictional character appearing in the romantic comedy film "Come September."
  • A. Tony
    Tony is a fictional character appearing in the Marx Brothers comedy film "A Day at the Races."
  • B. Tony
    Tony is a fictional character from the British television drama series "Time of Your Life."
  • C. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • D. Tony
    Tony is one of the central protagonists in Margaret Atwood’s novel "The Robber Bride," known for her intellectual, introspective nature and complex relationships with the other main characters.
  • E. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3079c08190977663e5d4762a80 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f700cbb3708190884d05dd0dd22639 completed May 3, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69f7031d168881909b4320ea77ec211f completed May 3, 2026, 8:11 a.m.
Created at: April 9, 2026, 9:22 p.m.