Triple

T18835078
Position Surface form Disambiguated ID Type / Status
Subject Spencer Paysinger E460642 entity
Predicate familyName P18 FINISHED
Object Paysinger
Paysinger is the surname of Spencer Paysinger, a former NFL linebacker whose life inspired the television series "All American."
 E1345947 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: Paysinger | Statement: [Spencer Paysinger, familyName, Paysinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paysinger
Context triple: [Spencer Paysinger, familyName, Paysinger]
  • A. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • B. Pagnerre
    Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
  • C. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • D. Sagnier
    Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
  • E. Goulier
    Goulier is a small mountain village in the Ariège department of southwestern France, known for its scenic Pyrenean setting and outdoor activities.
  • 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: Paysinger
Triple: [Spencer Paysinger, familyName, Paysinger]
Generated description
Paysinger is the surname of Spencer Paysinger, a former NFL linebacker whose life inspired the television series "All American."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paysinger
Target entity description: Paysinger is the surname of Spencer Paysinger, a former NFL linebacker whose life inspired the television series "All American."
  • A. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • B. Pagnerre
    Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
  • C. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • D. Sagnier
    Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
  • E. Goulier
    Goulier is a small mountain village in the Ariège department of southwestern France, known for its scenic Pyrenean setting and outdoor activities.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05676957848190bbc1998f4e36d11e completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a056984d9d88190ab457cef689a5159 completed May 14, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0569fd03f081908d217efa260f8938 completed May 14, 2026, 6:21 a.m.
Created at: April 10, 2026, 11:56 a.m.