Triple

T13186081
Position Surface form Disambiguated ID Type / Status
Subject Hager E313855 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Hager
Paul Hager is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or biography.
E1026000 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: Paul Hager | Statement: [Hager, hasNotableBearer, Paul Hager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Hager
Context triple: [Hager, hasNotableBearer, Paul Hager]
  • A. Joe Hogue
    Joe Hogue is a music producer known for his work on early recordings by pop artist Katy Perry (then performing as Katy Hudson).
  • B. Michael Haggerty
    Michael Haggerty is a notable individual distinguished enough to be specifically cited as a prominent bearer of the surname Haggerty.
  • C. Chris Hager
    Chris Hager is an American guitarist best known for his work in the glam metal scene, including his involvement with the band Ratt.
  • D. Michael W. Bischoff
    Michael W. Bischoff is a key architect and leader at the prominent international architecture firm Pei Cobb Freed & Partners.
  • E. Robert Bischoff
    Robert Bischoff is a film editor known for his work on the classic 1941 comedy "The Devil and Miss Jones."
  • 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: Paul Hager
Triple: [Hager, hasNotableBearer, Paul Hager]
Generated description
Paul Hager is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or biography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Hager
Target entity description: Paul Hager is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or biography.
  • A. Joe Hogue
    Joe Hogue is a music producer known for his work on early recordings by pop artist Katy Perry (then performing as Katy Hudson).
  • B. Michael Haggerty
    Michael Haggerty is a notable individual distinguished enough to be specifically cited as a prominent bearer of the surname Haggerty.
  • C. Chris Hager
    Chris Hager is an American guitarist best known for his work in the glam metal scene, including his involvement with the band Ratt.
  • D. Michael W. Bischoff
    Michael W. Bischoff is a key architect and leader at the prominent international architecture firm Pei Cobb Freed & Partners.
  • E. Robert Bischoff
    Robert Bischoff is a film editor known for his work on the classic 1941 comedy "The Devil and Miss Jones."
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f694f8c48190adce4cddbf63777f completed May 3, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6f7d8bfa0819097b3d9175bc56933 completed May 3, 2026, 7:23 a.m.
Created at: April 9, 2026, 9:15 p.m.