Triple

T5933330
Position Surface form Disambiguated ID Type / Status
Subject TotalEnergies E131987 entity
Predicate formerlyKnownAs P65 FINISHED
Object Total
Total is the former name of TotalEnergies, a major French multinational oil and gas company that has expanded into broader energy sectors.
 E555210 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: Total | Statement: [TotalEnergies, formerlyKnownAs, Total]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Total
Context triple: [TotalEnergies, formerlyKnownAs, Total]
  • A. Total
    Total is an American R&B girl group best known for their 1990s hits and frequent collaborations with Bad Boy Records artists.
  • B. Overall
    Overall is an English-language surname borne by various individuals, including figures in sports, politics, and other fields.
  • C. Tally
    Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
  • D. Fuld
    Fuld is a surname most notably associated with former Major League Baseball outfielder and current baseball executive Sam Fuld.
  • E. ULTI
    ULTI was the stock ticker symbol for Ultimate Software, a former U.S.-based provider of cloud-based human capital management (HCM) and payroll solutions.
  • 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: Total
Triple: [TotalEnergies, formerlyKnownAs, Total]
Generated description
Total is the former name of TotalEnergies, a major French multinational oil and gas company that has expanded into broader energy sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Total
Target entity description: Total is the former name of TotalEnergies, a major French multinational oil and gas company that has expanded into broader energy sectors.
  • A. Total
    Total is an American R&B girl group best known for their 1990s hits and frequent collaborations with Bad Boy Records artists.
  • B. Overall
    Overall is an English-language surname borne by various individuals, including figures in sports, politics, and other fields.
  • C. Tally
    Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
  • D. Fuld
    Fuld is a surname most notably associated with former Major League Baseball outfielder and current baseball executive Sam Fuld.
  • E. ULTI
    ULTI was the stock ticker symbol for Ultimate Software, a former U.S.-based provider of cloud-based human capital management (HCM) and payroll solutions.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c109b3288190928dc4539a2872c2 completed March 23, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1f6fe60819080a00976740b6a9c completed March 23, 2026, 4:30 a.m.
Created at: March 22, 2026, 4 p.m.