Triple

T18482152
Position Surface form Disambiguated ID Type / Status
Subject D. Woods E451586 entity
Predicate givenName P17 FINISHED
Object Wanita
Wanita is a feminine given name, often used in English-speaking countries.
 E1326483 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: Wanita | Statement: [D. Woods, givenName, Wanita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wanita
Context triple: [D. Woods, givenName, Wanita]
  • A. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • B. Woman
    "Woman" is a soulful, blues-influenced track from Harry Styles' self-titled debut solo album, noted for its laid-back groove and introspective lyrics.
  • C. Woman
    "Woman" is a 1996 feminist-themed song by Swedish singer-songwriter Neneh Cherry, known for its empowering lyrics and response to James Brown’s "It's a Man's Man's Man's World."
  • D. Woman
    "Woman" is an empowering, feminist pop song by Kesha that celebrates female independence and self-confidence.
  • E. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • 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: Wanita
Triple: [D. Woods, givenName, Wanita]
Generated description
Wanita is a feminine given name, often used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wanita
Target entity description: Wanita is a feminine given name, often used in English-speaking countries.
  • A. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • B. Woman
    "Woman" is a soulful, blues-influenced track from Harry Styles' self-titled debut solo album, noted for its laid-back groove and introspective lyrics.
  • C. Woman
    "Woman" is an empowering, feminist pop song by Kesha that celebrates female independence and self-confidence.
  • D. Woman
    "Woman" is a 1996 feminist-themed song by Swedish singer-songwriter Neneh Cherry, known for its empowering lyrics and response to James Brown’s "It's a Man's Man's Man's World."
  • E. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d49a1881908cc2ad6132953c96 completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f318c008190a385bf367aa4dda7 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04435ec1848190a5bf61ba2263dde5 completed May 13, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_6a044ae5f7e88190aafb15af6a71be9f completed May 13, 2026, 9:56 a.m.
Created at: April 10, 2026, 11:35 a.m.