Triple

T16640414
Position Surface form Disambiguated ID Type / Status
Subject Tammy (Ocean's 8) E404317 entity
Predicate worksWith P398 FINISHED
Object Amita (Ocean's 8)
Amita is a skilled jeweler and member of Debbie Ocean's all-female heist crew in the film "Ocean's 8."
E1225412 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: Amita (Ocean's 8) | Statement: [Tammy (Ocean's 8), worksWith, Amita (Ocean's 8)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amita (Ocean's 8)
Context triple: [Tammy (Ocean's 8), worksWith, Amita (Ocean's 8)]
  • A. Lou (Ocean's 8)
    Lou is a cool-headed, resourceful con artist and Debbie Ocean’s trusted right-hand partner in the heist crew of the film "Ocean’s 8."
  • B. Charlize
    Charlize is a feminine given name, most famously borne by South African–born actress and producer Charlize Theron.
  • C. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • D. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • E. Lena
    Lena is the central female protagonist in Pedro Almodóvar’s 2009 Spanish drama film "Broken Embraces," portrayed by Penélope Cruz.
  • 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: Amita (Ocean's 8)
Triple: [Tammy (Ocean's 8), worksWith, Amita (Ocean's 8)]
Generated description
Amita is a skilled jeweler and member of Debbie Ocean's all-female heist crew in the film "Ocean's 8."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amita (Ocean's 8)
Target entity description: Amita is a skilled jeweler and member of Debbie Ocean's all-female heist crew in the film "Ocean's 8."
  • A. Lou (Ocean's 8)
    Lou is a cool-headed, resourceful con artist and Debbie Ocean’s trusted right-hand partner in the heist crew of the film "Ocean’s 8."
  • B. Charlize
    Charlize is a feminine given name, most famously borne by South African–born actress and producer Charlize Theron.
  • C. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • D. Lena
    Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
  • E. Lena
    Lena is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key romantic interest and catalyst in the story’s blend of crime, drama, and melancholy.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00853af11881908e0e61fb352e2e87 completed May 10, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0085f2fd2881908b31bd57790acb74 completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.