Triple

T4412305
Position Surface form Disambiguated ID Type / Status
Subject Darley Stud E94877 entity
Predicate notableStallionStood P55481 FINISHED
Object Teofilo
Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
 E439497 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: Teofilo | Statement: [Darley Stud, notableStallionStood, Teofilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teofilo
Context triple: [Darley Stud, notableStallionStood, Teofilo]
  • A. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Elpidio
    Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Alejo
    Alejo is a Spanish given name commonly used as a short form of Alejandro.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • 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: Teofilo
Triple: [Darley Stud, notableStallionStood, Teofilo]
Generated description
Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teofilo
Target entity description: Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
  • A. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Elpidio
    Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Alejo
    Alejo is a Spanish given name commonly used as a short form of Alejandro.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136465c48190a5bdab81fe1438c4 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b614371b2081909fabb88f2993dd29 completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b6155a57c08190bbf2e88f95cede16 completed March 15, 2026, 2:11 a.m.
Created at: March 12, 2026, 11:29 p.m.