Triple

T167532
Position Surface form Disambiguated ID Type / Status
Subject Thomas Gage E3048 entity
Predicate familyName P18 FINISHED
Object Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
E26199 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: Gage | Statement: [Thomas Gage, familyName, Gage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gage
Context triple: [Thomas Gage, familyName, Gage]
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • 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: Gage
Triple: [Thomas Gage, familyName, Gage]
Generated description
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gage
Target entity description: Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25884c8d88190bc4cb4e3541e8116 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32bc3efbc8190831cb527c122ac59 completed Feb. 28, 2026, 5:54 p.m.
NEDg Description generation batch_69a32d0fbc048190b01b3c2861c78ea3 completed Feb. 28, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69a32d5b05588190a67be5d0df28763f completed Feb. 28, 2026, 6 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.