Triple

T329775
Position Surface form Disambiguated ID Type / Status
Subject Tyrone Power E6599 entity
Predicate spouse P13 FINISHED
Object Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
 E43014 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: Annabella | Statement: [Tyrone Power, spouse, Annabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annabella
Context triple: [Tyrone Power, spouse, Annabella]
  • A. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • B. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • C. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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: Annabella
Triple: [Tyrone Power, spouse, Annabella]
Generated description
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annabella
Target entity description: Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • A. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • B. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • C. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaaeb64881909c7ab9bca3378e2b completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d24410608190be8da7fa425f1971 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d3425a54819087035f5de7a26417 completed March 1, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69a3d41e60c081909e92df5319defe2c completed March 1, 2026, 5:52 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.