Triple

T36000143
Position Surface form Disambiguated ID Type / Status
Subject Magnum T. A. E1041104 entity
Predicate inspiredRingNameBy P159470 FINISHED
Object Tom Selleck’s Magnum, P.I. character
Tom Selleck’s Magnum, P.I. character is Thomas Magnum, a charismatic, mustachioed private investigator living in Hawaii, known for his laid-back charm, red Ferrari, and iconic 1980s television presence.
 E2164990 NE FINISHED

How this triple was built (3 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: Tom Selleck’s Magnum, P.I. character | Statement: [Magnum T. A., inspiredRingNameBy, Tom Selleck’s Magnum, P.I. character]
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: Tom Selleck’s Magnum, P.I. character
Triple: [Magnum T. A., inspiredRingNameBy, Tom Selleck’s Magnum, P.I. character]
Generated description
Tom Selleck’s Magnum, P.I. character is Thomas Magnum, a charismatic, mustachioed private investigator living in Hawaii, known for his laid-back charm, red Ferrari, and iconic 1980s television presence.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: inspiredRingNameBy
Context triple: [Magnum T. A., inspiredRingNameBy, Tom Selleck’s Magnum, P.I. character]
  • A. inspiredRingNameOf chosen
    Indicates that one entity’s ring name was inspired by or derived from another entity.
  • B. motherRingName
    Indicates the name of the ring to which a given ring (or sub-ring) is hierarchically related as its “mother” or parent ring.
  • C. ringName
    Indicates that a ring is identified or referred to by a specific name.
  • D. originalRingName
    Indicates the name originally used for a ring before any later changes or renamings.
  • E. shapeInspiredNickname
    Indicates that one entity’s physical shape or form served as the inspiration for another entity’s nickname.
  • F. None of above.

Provenance (6 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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd49f6dbac81909744373a357b7982 completed May 8, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38bff1e6fc8190adc304a8731c5dc1 completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0a8a0908190a845f3f6e7040e1e completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c164f0e88190bef255d462f21732 completed June 22, 2026, 5 a.m.
PD Predicate disambiguation batch_69fd48ed68f481908374183c66a6b055 completed May 8, 2026, 2:22 a.m.
Created at: May 3, 2026, 4:07 p.m.