Triple

T5699644
Position Surface form Disambiguated ID Type / Status
Subject Jon Tenney E125626 entity
Predicate familyName P18 FINISHED
Object Tenney
Tenney is a surname most notably associated with American actor Jon Tenney, known for his work in film and television.
 E539384 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: Tenney | Statement: [Jon Tenney, familyName, Tenney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenney
Context triple: [Jon Tenney, familyName, Tenney]
  • A. Tomlinson
    Tomlinson is a surname most notably associated with Ray Tomlinson, the American computer programmer credited with inventing networked email and introducing the "@" symbol in email addresses.
  • B. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Tibbetts
    Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Tierney
    Tierney is an Irish-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • E. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • 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: Tenney
Triple: [Jon Tenney, familyName, Tenney]
Generated description
Tenney is a surname most notably associated with American actor Jon Tenney, known for his work in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenney
Target entity description: Tenney is a surname most notably associated with American actor Jon Tenney, known for his work in film and television.
  • A. Tomlinson
    Tomlinson is a surname most notably associated with Ray Tomlinson, the American computer programmer credited with inventing networked email and introducing the "@" symbol in email addresses.
  • B. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Tibbetts
    Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Tierney
    Tierney is an Irish-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • E. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0241030408190be774a5d2ca6e999 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5c89b88190a397c6b1dcb9c3e8 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb76a748190a3b1a289dbd92dee completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c498c4c8190bfa3ac17fba2b152 completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:45 p.m.