Triple

T957365
Position Surface form Disambiguated ID Type / Status
Subject Lin-Manuel Miranda E20653 entity
Predicate familyName P18 FINISHED
Object Miranda
Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
E111839 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: Miranda | Statement: [Lin-Manuel Miranda, familyName, Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda
Context triple: [Lin-Manuel Miranda, familyName, Miranda]
  • A. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • D. Cassandane
    Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
  • E. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • 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: Miranda
Triple: [Lin-Manuel Miranda, familyName, Miranda]
Generated description
Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miranda
Target entity description: Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
  • A. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • D. Cassandane
    Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
  • E. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fac2bc8190a66feb70c68899b2 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b259d08190b03989e2b1575085 completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a93e872ac4819098fd5d58ce4e5946 completed March 5, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_69a94f56518c8190b20f30f9d220c101 completed March 5, 2026, 9:39 a.m.
Created at: March 1, 2026, 7:40 p.m.