Triple

T4676898
Position Surface form Disambiguated ID Type / Status
Subject Anson Mount E103702 entity
Predicate spouse P13 FINISHED
Object Darah Trang
Darah Trang is a professional photographer and the wife of American actor Anson Mount.
E460333 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: Darah Trang | Statement: [Anson Mount, spouse, Darah Trang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darah Trang
Context triple: [Anson Mount, spouse, Darah Trang]
  • A. Tai Yai
    Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
  • B. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • C. Serliana
    Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
  • D. Saarang
    Saarang is the annual cultural festival of IIT Madras, known as one of India’s largest and most prominent college cultural fests featuring music, arts, literary, and performing arts events.
  • E. Din Da Da
    "Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
  • 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: Darah Trang
Triple: [Anson Mount, spouse, Darah Trang]
Generated description
Darah Trang is a professional photographer and the wife of American actor Anson Mount.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darah Trang
Target entity description: Darah Trang is a professional photographer and the wife of American actor Anson Mount.
  • A. Tai Yai
    Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
  • B. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • C. Serliana
    Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
  • D. Saarang
    Saarang is the annual cultural festival of IIT Madras, known as one of India’s largest and most prominent college cultural fests featuring music, arts, literary, and performing arts events.
  • E. Din Da Da
    "Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63698a548190831863adddd32f31 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a0d5c88190a9b40e1ca7d165ff completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04f8aeac81909ec199c83af6df39 completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05608ee08190acf947144998660c completed March 21, 2026, 2:41 a.m.
Created at: March 20, 2026, 1:16 p.m.