Triple

T5550498
Position Surface form Disambiguated ID Type / Status
Subject Matt Bomer E145513 entity
Predicate familyName P18 FINISHED
Object Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
E527817 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: Bomer | Statement: [Matt Bomer, familyName, Bomer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bomer
Context triple: [Matt Bomer, familyName, Bomer]
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • C. Bohan
    Bohan is a small village in southern Belgium known for its scenic location along the Semois River near the French border.
  • D. Bohan
    Bohan is a given name that serves as a variant form of the name Bowen.
  • E. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • 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: Bomer
Triple: [Matt Bomer, familyName, Bomer]
Generated description
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bomer
Target entity description: Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • C. Bohan
    Bohan is a given name that serves as a variant form of the name Bowen.
  • D. Bohan
    Bohan is a small village in southern Belgium known for its scenic location along the Semois River near the French border.
  • E. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283101dc8190a52ef2edbb523e78 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033e0043881908c9fca5138398188 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034664c808190b382f7aad0e3149a completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:35 p.m.