Triple

T15622043
Position Surface form Disambiguated ID Type / Status
Subject McCaslin family E375579 entity
Predicate hasMember P10 FINISHED
Object Tomey
Tomey is a member of the fictional McCaslin family featured in William Faulkner’s Yoknapatawpha County stories.
 E1167913 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: Tomey | Statement: [McCaslin family, hasMember, Tomey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomey
Context triple: [McCaslin family, hasMember, Tomey]
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Toshi
    Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
  • C. Ōtomo
    Ōtomo is a historical Japanese clan name borne by several notable aristocrats and poets in ancient Japan.
  • D. Shige
    Shige is a given name, notably used by the Chinese mathematician Peng Shige, recognized for his contributions to probability theory and stochastic analysis.
  • E. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • 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: Tomey
Triple: [McCaslin family, hasMember, Tomey]
Generated description
Tomey is a member of the fictional McCaslin family featured in William Faulkner’s Yoknapatawpha County stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomey
Target entity description: Tomey is a member of the fictional McCaslin family featured in William Faulkner’s Yoknapatawpha County stories.
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Toshi
    Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
  • C. Ōtomo
    Ōtomo is a historical Japanese clan name borne by several notable aristocrats and poets in ancient Japan.
  • D. Shige
    Shige is a given name, notably used by the Chinese mathematician Peng Shige, recognized for his contributions to probability theory and stochastic analysis.
  • E. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3da754819085a6bd9876b12c65 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff605d94308190bccbfb4588f337e1 completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff612340748190987e567e43460f62 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.