Triple

T11572192
Position Surface form Disambiguated ID Type / Status
Subject Tobin Bell E274416 entity
Predicate givenName P17 FINISHED
Object Joseph
Joseph is the first name of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" horror film franchise.
 E934105 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: Joseph | Statement: [Tobin Bell, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joseph
Context triple: [Tobin Bell, givenName, Joseph]
  • A. Joseph
    Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
  • B. Joseph
    Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
  • C. Joseph
    Joseph is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and moral integrity as recounted in Surah Yusuf of the Qur’an.
  • D. Joseph
    Joseph is the first name of Gray Davis, the former governor of California.
  • E. Joseph
    Joseph is the given name of Joe Namath, the Hall of Fame American football quarterback famed for his career with the New York Jets.
  • 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: Joseph
Triple: [Tobin Bell, givenName, Joseph]
Generated description
Joseph is the first name of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" horror film franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joseph
Target entity description: Joseph is the first name of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" horror film franchise.
  • A. Joseph
    Joseph is the full given name of English actor Joe McGann, known for his work in British television and theatre.
  • B. Joseph
    Joseph is the given first name of American voice actor and comedian Joe Alaskey, known for voicing several iconic Looney Tunes characters.
  • C. Joseph
    Joseph is the birth name of T Bone Burnett, the American musician and acclaimed record producer known for his work on influential albums and film soundtracks.
  • D. Joseph
    Joseph is the first name of Gray Davis, the former governor of California.
  • E. Joseph
    Joseph is the given first name of Joe Torre, the former Major League Baseball player and Hall of Fame manager best known for leading the New York Yankees to multiple World Series titles.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8eface48190a2ed3275191b01ea completed April 21, 2026, 3:03 a.m.
NEDg Description generation batch_69e6ef9631e48190aef47bba9ad611e8 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:38 p.m.