Triple

T19133307
Position Surface form Disambiguated ID Type / Status
Subject Tecuichpo E468370 entity
Predicate hasTitle P38 FINISHED
Object Doña
Doña is a Spanish honorific title traditionally used to show respect for women, similar to "Lady" or "Madam."
 E1359335 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: Doña | Statement: [Tecuichpo, hasTitle, Doña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doña
Context triple: [Tecuichpo, hasTitle, Doña]
  • A. Doña Pulido
    Doña Pulido is a member of the Pulido family, likely a matriarchal or respected female figure bearing the traditional honorific "Doña."
  • B. Doña Aurora
    Doña Aurora was the revered First Lady of the Philippines and a prominent humanitarian known for her advocacy of social welfare and women’s rights.
  • C. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • D. Dona
    Dona is the nickname of Augusta Victoria of Schleswig-Holstein, the last German Empress and Queen of Prussia as the wife of Kaiser Wilhelm II.
  • E. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • 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: Doña
Triple: [Tecuichpo, hasTitle, Doña]
Generated description
Doña is a Spanish honorific title traditionally used to show respect for women, similar to "Lady" or "Madam."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doña
Target entity description: Doña is a Spanish honorific title traditionally used to show respect for women, similar to "Lady" or "Madam."
  • A. Doña Pulido
    Doña Pulido is a member of the Pulido family, likely a matriarchal or respected female figure bearing the traditional honorific "Doña."
  • B. Doña Aurora
    Doña Aurora was the revered First Lady of the Philippines and a prominent humanitarian known for her advocacy of social welfare and women’s rights.
  • C. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • D. Dona
    Dona is the nickname of Augusta Victoria of Schleswig-Holstein, the last German Empress and Queen of Prussia as the wife of Kaiser Wilhelm II.
  • E. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3eb325081909035beefd1c9daf0 completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67f5ae881909d5c865b6c8ffdda completed May 14, 2026, 3:13 p.m.
NEDg Description generation batch_6a05e9406ba48190a50f4ea6b413e1f4 completed May 14, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05e9c0d35081909b6ce3c287af5d5f completed May 14, 2026, 3:26 p.m.
Created at: April 10, 2026, 12:05 p.m.