Triple

T14173940
Position Surface form Disambiguated ID Type / Status
Subject The War Lord E351283 entity
Predicate starring P1507 FINISHED
Object James Farentino
James Farentino was an American actor known for his work in film and television from the 1960s onward, often appearing in dramas and crime series.
E1114928 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: James Farentino | Statement: [The War Lord, starring, James Farentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Farentino
Context triple: [The War Lord, starring, James Farentino]
  • A. James Madio
    James Madio is an American actor best known for his roles in films like "The Basketball Diaries" and the miniseries "Band of Brothers."
  • B. Brian DeMarco
    Brian DeMarco is an American experimental physicist known for his work on ultracold atomic gases and quantum many-body physics.
  • C. Chris DiDomenico
    Chris DiDomenico is a Canadian professional ice hockey forward known for his playmaking skills and for having played in both the NHL and various European leagues.
  • D. Mark Ferrante
    Mark Ferrante is an American college football coach best known for leading the Villanova Wildcats football program.
  • E. Jerry Ferrara
    Jerry Ferrara is an American actor best known for playing Turtle on the HBO series "Entourage" and for roles in films such as "Think Like a Man."
  • 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: James Farentino
Triple: [The War Lord, starring, James Farentino]
Generated description
James Farentino was an American actor known for his work in film and television from the 1960s onward, often appearing in dramas and crime series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Farentino
Target entity description: James Farentino was an American actor known for his work in film and television from the 1960s onward, often appearing in dramas and crime series.
  • A. James Madio
    James Madio is an American actor best known for his roles in films like "The Basketball Diaries" and the miniseries "Band of Brothers."
  • B. Brian DeMarco
    Brian DeMarco is an American experimental physicist known for his work on ultracold atomic gases and quantum many-body physics.
  • C. Chris DiDomenico
    Chris DiDomenico is a Canadian professional ice hockey forward known for his playmaking skills and for having played in both the NHL and various European leagues.
  • D. Mark Ferrante
    Mark Ferrante is an American college football coach best known for leading the Villanova Wildcats football program.
  • E. Jerry Ferrara
    Jerry Ferrara is an American actor best known for playing Turtle on the HBO series "Entourage" and for roles in films such as "Think Like a Man."
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf21ff584819098d5bc66fd667edf completed May 8, 2026, 2:24 p.m.
NED2 Entity disambiguation (via description) batch_69fdf2980d188190a81474df8097aab7 completed May 8, 2026, 2:26 p.m.
Created at: April 10, 2026, 1:01 a.m.