Triple

T16097723
Position Surface form Disambiguated ID Type / Status
Subject Montel Williams E390529 entity
Predicate givenName P17 FINISHED
Object Montel
Montel is a masculine given name best known from American television personality and former talk show host Montel Williams.
 E1194531 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: Montel | Statement: [Montel Williams, givenName, Montel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montel
Context triple: [Montel Williams, givenName, Montel]
  • A. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • B. Montà
    Montà is a small Italian municipality in the Roero area of Piedmont, known for its hilly vineyards, hazelnut groves, and traditional food and wine culture.
  • C. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • D. Mompeo
    Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • E. Sousel
    Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • 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: Montel
Triple: [Montel Williams, givenName, Montel]
Generated description
Montel is a masculine given name best known from American television personality and former talk show host Montel Williams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montel
Target entity description: Montel is a masculine given name best known from American television personality and former talk show host Montel Williams.
  • A. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • B. Montà
    Montà is a small Italian municipality in the Roero area of Piedmont, known for its hilly vineyards, hazelnut groves, and traditional food and wine culture.
  • C. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • D. Mompeo
    Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • E. Sousel
    Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec7d0b188190805a471ed3a97eb5 completed May 10, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffed254d8c81909e0d86621c7792cb completed May 10, 2026, 2:27 a.m.
Created at: April 10, 2026, 4:59 a.m.