Triple

T18344520
Position Surface form Disambiguated ID Type / Status
Subject Allen E. Paulson E439499 entity
Predicate owned P347 FINISHED
Object Bien Bien
Bien Bien was a successful American Thoroughbred racehorse best known for his achievements on turf in the early 1990s.
 E1320384 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: Bien Bien | Statement: [Allen E. Paulson, owned, Bien Bien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bien Bien
Context triple: [Allen E. Paulson, owned, Bien Bien]
  • A. Tú Muy Bien Sabes
    "Tú Muy Bien Sabes" is a romantic Latin pop song by Mexican singer Luis Miguel from his acclaimed album "Amarte Es Un Placer."
  • B. Tal para cual
    Tal para cual is a Spanish-language film whose title roughly translates to "Made for Each Other," typically used for romantic or comedic stories about perfectly matched partners.
  • C. Bucana
    Bucana is a barangay (village-level administrative division) within the municipality of Ternate in the province of Cavite, Philippines.
  • D. Vaya Con Dios
    "Vaya Con Dios" is a popular 1953 pop and country ballad, best known for Mary Ford’s hit recording with guitarist Les Paul.
  • E. La Troncal
    La Troncal is a significant urban and commercial center in Ecuador’s Cañar Province, known for its agricultural production and role as a regional transport hub.
  • 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: Bien Bien
Triple: [Allen E. Paulson, owned, Bien Bien]
Generated description
Bien Bien was a successful American Thoroughbred racehorse best known for his achievements on turf in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bien Bien
Target entity description: Bien Bien was a successful American Thoroughbred racehorse best known for his achievements on turf in the early 1990s.
  • A. Tú Muy Bien Sabes
    "Tú Muy Bien Sabes" is a romantic Latin pop song by Mexican singer Luis Miguel from his acclaimed album "Amarte Es Un Placer."
  • B. Tal para cual
    Tal para cual is a Spanish-language film whose title roughly translates to "Made for Each Other," typically used for romantic or comedic stories about perfectly matched partners.
  • C. Bucana
    Bucana is a barangay (village-level administrative division) within the municipality of Ternate in the province of Cavite, Philippines.
  • D. Vaya Con Dios
    "Vaya Con Dios" is a popular 1953 pop and country ballad, best known for Mary Ford’s hit recording with guitarist Les Paul.
  • E. La Troncal
    La Troncal is a significant urban and commercial center in Ecuador’s Cañar Province, known for its agricultural production and role as a regional transport hub.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc245d008190838015a5129f232f completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03d05679f4819096ecee9c2a19ad26 completed May 13, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a03d0cd1a688190ba67d1601e4fea79 completed May 13, 2026, 1:15 a.m.
Created at: April 10, 2026, 10:37 a.m.