Triple

T6597810
Position Surface form Disambiguated ID Type / Status
Subject Fuller Theological Seminary E148518 entity
Predicate hasPresident P112 FINISHED
Object David Emmanuel Goatley
David Emmanuel Goatley is an American theologian and academic leader who serves as president of Fuller Theological Seminary.
 E607196 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: David Emmanuel Goatley | Statement: [Fuller Theological Seminary, hasPresident, David Emmanuel Goatley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Emmanuel Goatley
Context triple: [Fuller Theological Seminary, hasPresident, David Emmanuel Goatley]
  • A. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • B. Adam Goodyer
    Adam Goodyer is a cinematographer known for his work on the film "Amy."
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • E. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • 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: David Emmanuel Goatley
Triple: [Fuller Theological Seminary, hasPresident, David Emmanuel Goatley]
Generated description
David Emmanuel Goatley is an American theologian and academic leader who serves as president of Fuller Theological Seminary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Emmanuel Goatley
Target entity description: David Emmanuel Goatley is an American theologian and academic leader who serves as president of Fuller Theological Seminary.
  • A. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • B. Adam Goodyer
    Adam Goodyer is a cinematographer known for his work on the film "Amy."
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • E. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeee738081908913f4f8c6699bd9 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43224dc81909dea493a5ee2726e completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.