Triple

T20339337
Position Surface form Disambiguated ID Type / Status
Subject Gene Markey E495697 entity
Predicate familyName P18 FINISHED
Object Markey
Markey is a surname most notably associated with American author, screenwriter, and producer Gene Markey.
 E1424505 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: Markey | Statement: [Gene Markey, familyName, Markey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markey
Context triple: [Gene Markey, familyName, Markey]
  • A. Kitzhaber
    Kitzhaber is the surname of John Kitzhaber, an American politician and former governor of Oregon.
  • B. Pascrell
    Pascrell is the surname of Bill Pascrell, an American politician who has served as a U.S. Representative from New Jersey.
  • C. Patrick M. Murray
    Patrick M. Murray is an academic leader who has served as chancellor of Seton Hall University, overseeing its institutional and educational mission.
  • D. Arlen
    Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
  • E. Arlen
    Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
  • 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: Markey
Triple: [Gene Markey, familyName, Markey]
Generated description
Markey is a surname most notably associated with American author, screenwriter, and producer Gene Markey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markey
Target entity description: Markey is a surname most notably associated with American author, screenwriter, and producer Gene Markey.
  • A. Kitzhaber
    Kitzhaber is the surname of John Kitzhaber, an American politician and former governor of Oregon.
  • B. Pascrell
    Pascrell is the surname of Bill Pascrell, an American politician who has served as a U.S. Representative from New Jersey.
  • C. Patrick M. Murray
    Patrick M. Murray is an academic leader who has served as chancellor of Seton Hall University, overseeing its institutional and educational mission.
  • D. Arlen
    Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
  • E. Arlen
    Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678342a0081908ede8006eb5506a3 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08695a90fc81908ab2c0e24a96de07 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869a83ac48190ae1137700c78cfc1 completed May 16, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a086a0aaee08190a0bce73f017fe491 completed May 16, 2026, 12:58 p.m.
Created at: April 16, 2026, 11:23 a.m.