Triple

T7524492
Position Surface form Disambiguated ID Type / Status
Subject Eraño G. Manalo E177856 entity
Predicate givenName P17 FINISHED
Object Eraño
Eraño is a Filipino religious leader best known as the second Executive Minister of the Iglesia ni Cristo, succeeding its founder Felix Y. Manalo.
 E670853 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: Eraño | Statement: [Eraño G. Manalo, givenName, Eraño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eraño
Context triple: [Eraño G. Manalo, givenName, Eraño]
  • A. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • D. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Eraño
Triple: [Eraño G. Manalo, givenName, Eraño]
Generated description
Eraño is a Filipino religious leader best known as the second Executive Minister of the Iglesia ni Cristo, succeeding its founder Felix Y. Manalo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eraño
Target entity description: Eraño is a Filipino religious leader best known as the second Executive Minister of the Iglesia ni Cristo, succeeding its founder Felix Y. Manalo.
  • A. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • D. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c61b508190b582f54ecbb387e3 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84631e6bc819099b3a7819c3ae9a7 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471e50ec8190b3d9e9fa5212cbac completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c8478782388190bb0e86bfb455750b completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:46 p.m.