Triple

T1722238
Position Surface form Disambiguated ID Type / Status
Subject Angelina Jolie E37415 entity
Predicate breakthroughWork P477 FINISHED
Object Gia
Gia is a 1998 biographical drama film about supermodel Gia Carangi, widely recognized for showcasing Angelina Jolie in one of her earliest acclaimed leading roles.
 E193995 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: Gia | Statement: [Angelina Jolie, breakthroughWork, Gia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gia
Context triple: [Angelina Jolie, breakthroughWork, Gia]
  • A. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • B. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • C. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • D. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • E. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • 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: Gia
Triple: [Angelina Jolie, breakthroughWork, Gia]
Generated description
Gia is a 1998 biographical drama film about supermodel Gia Carangi, widely recognized for showcasing Angelina Jolie in one of her earliest acclaimed leading roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gia
Target entity description: Gia is a 1998 biographical drama film about supermodel Gia Carangi, widely recognized for showcasing Angelina Jolie in one of her earliest acclaimed leading roles.
  • A. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • B. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • C. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • D. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • E. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aeca12881908efad5991bb0f12b completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.