Triple

T5590691
Position Surface form Disambiguated ID Type / Status
Subject Tammy and the Bachelor E146868 entity
Predicate songTitle P38 FINISHED
Object Tammy
"Tammy" is a popular 1957 ballad closely associated with the film "Tammy and the Bachelor" and widely remembered for its romantic, nostalgic melody.
 E536778 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 and the Bachelor, songTitle, Tammy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tammy
Context triple: [Tammy and the Bachelor, songTitle, Tammy]
  • A. 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.
  • 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. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • D. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • E. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • 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 and the Bachelor, songTitle, Tammy]
Generated description
"Tammy" is a popular 1957 ballad closely associated with the film "Tammy and the Bachelor" and widely remembered for its romantic, nostalgic melody.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tammy
Target entity description: "Tammy" is a popular 1957 ballad closely associated with the film "Tammy and the Bachelor" and widely remembered for its romantic, nostalgic melody.
  • A. 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.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. 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.
  • D. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • E. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a1d4cc8190a52264dfba6aa011 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d342f7881908a79522692e8f7f9 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7856848190a835c3ee0a32f649 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:38 p.m.