Triple

T603768
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Emma Darwin E11551 entity
Predicate givenName P17 FINISHED
Object Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
 E77681 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: Henrietta | Statement: [Henrietta Emma Darwin, givenName, Henrietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henrietta
Context triple: [Henrietta Emma Darwin, givenName, Henrietta]
  • A. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • D. Stella Maris
    Stella Maris is a traditional Latin title for the Virgin Mary, often invoked by seafarers and associated with guidance and protection.
  • E. McClintock
    McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
  • 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: Henrietta
Triple: [Henrietta Emma Darwin, givenName, Henrietta]
Generated description
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henrietta
Target entity description: Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • A. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • D. Stella Maris
    Stella Maris is a traditional Latin title for the Virgin Mary, often invoked by seafarers and associated with guidance and protection.
  • E. McClintock
    McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc67b248190b0bb195553f03be8 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c236108190a8784b6561ca8bca completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5647f67008190b279703c49d2b231 completed March 2, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69a56509b9848190b88286ffb29df287 completed March 2, 2026, 10:23 a.m.
Created at: March 1, 2026, 7:35 p.m.