Triple

T3599937
Position Surface form Disambiguated ID Type / Status
Subject Tammy Baldwin E76230 entity
Predicate givenName P17 FINISHED
Object Tammy
Tammy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Tamara or Tamsin.
 E250443 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: [Tammy Baldwin, givenName, Tammy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tammy
Context triple: [Tammy Baldwin, givenName, Tammy]
  • 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
  • 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: [Tammy Baldwin, givenName, Tammy]
Generated description
Tammy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Tamara or Tamsin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tammy
Target entity description: Tammy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Tamara or Tamsin.
  • 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 chosen
    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.

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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19fd57481908ce5c9daf168e213 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4031a41d08190b8e87c452601a625 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b406fd33e08190a6f06eddec8516e9 completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b408778220819086935bfa9c0dd4fd completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.