Triple

T9653232
Position Surface form Disambiguated ID Type / Status
Subject T.O.T.S. E233385 entity
Predicate voiceActor P1507 FINISHED
Object Christian J. Simon
Christian J. Simon is an American child actor and voice actor known for his roles in animated television series.
E816755 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: Christian J. Simon | Statement: [T.O.T.S., voiceActor, Christian J. Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian J. Simon
Context triple: [T.O.T.S., voiceActor, Christian J. Simon]
  • A. Richard L. Simon
    Richard L. Simon was an American publisher and co-founder of the major publishing house Simon & Schuster.
  • B. Michel DeGraff
    Michel DeGraff is a Haitian-born linguist known for his work on Haitian Creole, language and education, and linguistic theory as a professor at MIT.
  • C. Jacques K. Gilbert
    Jacques K. Gilbert is an American public official serving as the mayor of Apex, North Carolina.
  • D. Paul Kellerman
    Paul Kellerman is a key antagonist in the television series "Prison Break," a Secret Service agent deeply involved in the conspiracy framing Lincoln Burrows.
  • E. Robert F. Simon
    Robert F. Simon was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying authority figures such as military officers and executives.
  • 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: Christian J. Simon
Triple: [T.O.T.S., voiceActor, Christian J. Simon]
Generated description
Christian J. Simon is an American child actor and voice actor known for his roles in animated television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christian J. Simon
Target entity description: Christian J. Simon is an American child actor and voice actor known for his roles in animated television series.
  • A. Richard L. Simon
    Richard L. Simon was an American publisher and co-founder of the major publishing house Simon & Schuster.
  • B. Michel DeGraff
    Michel DeGraff is a Haitian-born linguist known for his work on Haitian Creole, language and education, and linguistic theory as a professor at MIT.
  • C. Jacques K. Gilbert
    Jacques K. Gilbert is an American public official serving as the mayor of Apex, North Carolina.
  • D. Paul Kellerman
    Paul Kellerman is a key antagonist in the television series "Prison Break," a Secret Service agent deeply involved in the conspiracy framing Lincoln Burrows.
  • E. Robert F. Simon
    Robert F. Simon was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying authority figures such as military officers and executives.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f6d397481908f7db1f272a6a710 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a07ecb3081909d1cf284a21637b7 completed April 4, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c05aa88190a93b0b71bef5c417 completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 8:13 p.m.