Triple

T10682647
Position Surface form Disambiguated ID Type / Status
Subject Ina Coolbrith E251794 entity
Predicate givenName P17 FINISHED
Object Ina
Ina is a feminine given name that gained literary prominence through figures such as American poet Ina Coolbrith.
E878919 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: Ina | Statement: [Ina Coolbrith, givenName, Ina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ina
Context triple: [Ina Coolbrith, givenName, Ina]
  • A. Lidia
    Lidia Zamenhof was a Polish Esperantist, translator, and writer, known for promoting Esperanto and translating major literary works into the language.
  • B. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • C. Annis
    Annis is a feminine given name of English origin, historically used in the Anglophone world.
  • D. Edna
    Edna is the given first name of the acclaimed American actress Ellen Burstyn.
  • E. Edna
    Edna is a biblical figure from the Book of Tobit, known as the wife of Raguel and mother of Sarah.
  • 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: Ina
Triple: [Ina Coolbrith, givenName, Ina]
Generated description
Ina is a feminine given name that gained literary prominence through figures such as American poet Ina Coolbrith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ina
Target entity description: Ina is a feminine given name that gained literary prominence through figures such as American poet Ina Coolbrith.
  • A. Lidia
    Lidia Zamenhof was a Polish Esperantist, translator, and writer, known for promoting Esperanto and translating major literary works into the language.
  • B. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • C. Annis
    Annis is a feminine given name of English origin, historically used in the Anglophone world.
  • D. Edna
    Edna is a biblical figure from the Book of Tobit, known as the wife of Raguel and mother of Sarah.
  • E. Edna
    Edna is the given first name of the acclaimed American actress Ellen Burstyn.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9888cf7b481909de6a4fecb48cf4b completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c013348819094bde38a057257b4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.