Triple

T5305625
Position Surface form Disambiguated ID Type / Status
Subject Schatz E120093 entity
Predicate hasNotableBearer P458 FINISHED
Object Jerry Schatz
Jerry Schatz is an individual notable enough to be recognized as a namesake of the surname Schatz.
E514826 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: Jerry Schatz | Statement: [Schatz, hasNotableBearer, Jerry Schatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Schatz
Context triple: [Schatz, hasNotableBearer, Jerry Schatz]
  • A. Tom Schaul
    Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
  • B. Joe Nussbaum
    Joe Nussbaum is an American film and television director and producer known for his work on teen and comedy projects such as "Sleepover," "American Pie Presents: The Naked Mile," and various Disney Channel productions.
  • C. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • D. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • E. Bob Suter
    Bob Suter was an American defenseman best known as a member of the "Miracle on Ice" 1980 U.S. Olympic hockey team and later a prominent youth hockey coach and scout.
  • 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: Jerry Schatz
Triple: [Schatz, hasNotableBearer, Jerry Schatz]
Generated description
Jerry Schatz is an individual notable enough to be recognized as a namesake of the surname Schatz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerry Schatz
Target entity description: Jerry Schatz is an individual notable enough to be recognized as a namesake of the surname Schatz.
  • A. Tom Schaul
    Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
  • B. Joe Nussbaum
    Joe Nussbaum is an American film and television director and producer known for his work on teen and comedy projects such as "Sleepover," "American Pie Presents: The Naked Mile," and various Disney Channel productions.
  • C. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • D. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • E. Bob Suter
    Bob Suter was an American defenseman best known as a member of the "Miracle on Ice" 1980 U.S. Olympic hockey team and later a prominent youth hockey coach and scout.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851dd0d081909c0bf1423278ad8a completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2907e4cc8190a25f457c17c747ff completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2996154c81909bd5aca5cdc4e426 completed March 21, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf29f6a5b0819096e53ce3a7e14266 completed March 21, 2026, 11:29 p.m.
Created at: March 20, 2026, 1:53 p.m.