Triple

T14016203
Position Surface form Disambiguated ID Type / Status
Subject My Girl E337209 entity
Predicate character P662 FINISHED
Object Thomas J. Sennett
Thomas J. Sennett is the sensitive, allergy-prone best friend and love interest of Vada in the coming-of-age film "My Girl."
E1226703 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: Thomas J. Sennett | Statement: [My Girl, character, Thomas J. Sennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas J. Sennett
Context triple: [My Girl, character, Thomas J. Sennett]
  • A. Philip M. Breen
    Philip M. Breen is a film producer best known for his work on the acclaimed baseball drama "The Natural."
  • B. Thomas S. Eisenstadt
    Thomas S. Eisenstadt was the sheriff of Suffolk County, Massachusetts, best known for his role as the named petitioner in the landmark U.S. Supreme Court contraception case Eisenstadt v. Baird (1972).
  • C. William Sewell
    William Sewell is the son of British actor Rufus Sewell.
  • D. Raymond Caplan
    Raymond Caplan is the birth name of American actor and director Ray Danton, known for his roles in film noir and crime dramas of the mid-20th century.
  • E. Charles F. Roos
    Charles F. Roos was an American economist and mathematician known for his pioneering work in econometrics and contributions to the formalization of economic theory.
  • 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: Thomas J. Sennett
Triple: [My Girl, character, Thomas J. Sennett]
Generated description
Thomas J. Sennett is the sensitive, allergy-prone best friend and love interest of Vada in the coming-of-age film "My Girl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas J. Sennett
Target entity description: Thomas J. Sennett is the sensitive, allergy-prone best friend and love interest of Vada in the coming-of-age film "My Girl."
  • A. Philip M. Breen
    Philip M. Breen is a film producer best known for his work on the acclaimed baseball drama "The Natural."
  • B. Thomas S. Eisenstadt
    Thomas S. Eisenstadt was the sheriff of Suffolk County, Massachusetts, best known for his role as the named petitioner in the landmark U.S. Supreme Court contraception case Eisenstadt v. Baird (1972).
  • C. William Sewell
    William Sewell is the son of British actor Rufus Sewell.
  • D. Raymond Caplan
    Raymond Caplan is the birth name of American actor and director Ray Danton, known for his roles in film noir and crime dramas of the mid-20th century.
  • E. Charles F. Roos
    Charles F. Roos was an American economist and mathematician known for his pioneering work in econometrics and contributions to the formalization of economic theory.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1d8e088190a2168952ab5dc687 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b1b3bcc81908b1b811ed42205ec completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008b7c29e88190b5a049cb2e541a8f completed May 10, 2026, 1:43 p.m.
Created at: April 9, 2026, 10:19 p.m.