Triple

T4361825
Position Surface form Disambiguated ID Type / Status
Subject Philhellenes E98676 entity
Predicate hasNotableMember P304 FINISHED
Object Taine
Taine was a notable philhellene recognized for his strong support and admiration of Greek culture and independence.
 E433270 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: Taine | Statement: [Philhellenes, hasNotableMember, Taine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taine
Context triple: [Philhellenes, hasNotableMember, Taine]
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Puget-Théniers
    Puget-Théniers is a small commune in southeastern France known for its picturesque setting in the Var valley and its historic Provençal village character.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • 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: Taine
Triple: [Philhellenes, hasNotableMember, Taine]
Generated description
Taine was a notable philhellene recognized for his strong support and admiration of Greek culture and independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taine
Target entity description: Taine was a notable philhellene recognized for his strong support and admiration of Greek culture and independence.
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Puget-Théniers
    Puget-Théniers is a small commune in southeastern France known for its picturesque setting in the Var valley and its historic Provençal village character.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e47d388190b31500189577cd75 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc357988190a2982a86847e2c42 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc6a97208190b91d784285657bff completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dce749708190b9daf2c192b32de3 completed March 14, 2026, 10:10 p.m.
Created at: March 12, 2026, 11:16 p.m.