Triple

T3996200
Position Surface form Disambiguated ID Type / Status
Subject Ocean's 8 E87102 entity
Predicate mainCharacter P1183 FINISHED
Object Tammy
Tammy is a resourceful, quirky suburban mom-turned-criminal and a key member of the heist crew in the film "Ocean's 8," portrayed by Sarah Paulson.
 E404317 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: Tammy | Statement: [Ocean's 8, mainCharacter, Tammy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tammy
Context triple: [Ocean's 8, mainCharacter, Tammy]
  • A. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. Tami-Lynn
    Tami-Lynn is a fictional character best known as the foul-mouthed love interest of the talking teddy bear Ted in the comedy film series "Ted."
  • D. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • E. Tammy Grimes
    Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
  • 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: Tammy
Triple: [Ocean's 8, mainCharacter, Tammy]
Generated description
Tammy is a resourceful, quirky suburban mom-turned-criminal and a key member of the heist crew in the film "Ocean's 8," portrayed by Sarah Paulson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tammy
Target entity description: Tammy is a resourceful, quirky suburban mom-turned-criminal and a key member of the heist crew in the film "Ocean's 8," portrayed by Sarah Paulson.
  • A. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • B. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • C. Tami-Lynn
    Tami-Lynn is a fictional character best known as the foul-mouthed love interest of the talking teddy bear Ted in the comedy film series "Ted."
  • D. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • E. Tammy Grimes
    Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa2159d88190a01de8b038341916 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403f14ec8190a77189c7066676f2 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54112e3788190800e295a745c4689 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541808d548190987ad1538c647664 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:34 p.m.