Triple

T20126196
Position Surface form Disambiguated ID Type / Status
Subject Trixter E490762 entity
Predicate hasMember P10 FINISHED
Object Michael Panepinto
Michael Panepinto is a member of the group or organization known as Trixter.
E1412832 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: Michael Panepinto | Statement: [Trixter, hasMember, Michael Panepinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Panepinto
Context triple: [Trixter, hasMember, Michael Panepinto]
  • A. Michael Fimognari
    Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
  • B. Michael J. Pagan
    Michael J. Pagan is an American actor and screenwriter known for roles in films like "How Stella Got Her Groove Back" and for co-writing the horror film "Chain Letter."
  • C. Michael Fratantuno
    Michael Fratantuno is a songwriter and producer best known for co-writing the Black Eyed Peas’ hit single "Where Is the Love?".
  • D. Robert Glaudini
    Robert Glaudini is an American playwright, screenwriter, and actor best known for writing the play "Jack Goes Boating," which he later adapted for the film version.
  • E. Anthony Pantaleoni
    Anthony Pantaleoni is an American lawyer and the father of actress Téa Leoni.
  • 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: Michael Panepinto
Triple: [Trixter, hasMember, Michael Panepinto]
Generated description
Michael Panepinto is a member of the group or organization known as Trixter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Panepinto
Target entity description: Michael Panepinto is a member of the group or organization known as Trixter.
  • A. Michael Fimognari
    Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
  • B. Michael J. Pagan
    Michael J. Pagan is an American actor and screenwriter known for roles in films like "How Stella Got Her Groove Back" and for co-writing the horror film "Chain Letter."
  • C. Michael Fratantuno
    Michael Fratantuno is a songwriter and producer best known for co-writing the Black Eyed Peas’ hit single "Where Is the Love?".
  • D. Robert Glaudini
    Robert Glaudini is an American playwright, screenwriter, and actor best known for writing the play "Jack Goes Boating," which he later adapted for the film version.
  • E. Anthony Pantaleoni
    Anthony Pantaleoni is an American lawyer and the father of actress Téa Leoni.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6674223008190827c454fe7ac86f4 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd9c1448190aa4038899470daf0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082e93a1e88190bac5daae12ece9f2 completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f334dd481908edb6ea3ae07e0a7 completed May 16, 2026, 8:47 a.m.
Created at: April 11, 2026, 11:31 p.m.