Triple

T6513085
Position Surface form Disambiguated ID Type / Status
Subject Tamala Jones E148183 entity
Predicate notableWork P4 FINISHED
Object 35 and Ticking
35 and Ticking is a romantic comedy film that follows a group of friends in their mid-thirties as they confront the pressures of aging, relationships, and starting families.
 E600859 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: 35 and Ticking | Statement: [Tamala Jones, notableWork, 35 and Ticking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 35 and Ticking
Context triple: [Tamala Jones, notableWork, 35 and Ticking]
  • A. Fifty-Sixty
    "Fifty-Sixty" is a song by French singer Alizée from her electro-pop-influenced album *Psychédélices*.
  • B. Tenages
    Tenages is a figure in Greek mythology, known as one of the Heliadae, the sons of Helios associated with the island of Rhodes.
  • C. Arnett
    Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
  • D. Fifteen
    Fifteen is an American punk rock band formed by Jeff Ott after the breakup of Crimpshrine, known for its politically charged lyrics and socially conscious themes.
  • E. TJ
    TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
  • 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: 35 and Ticking
Triple: [Tamala Jones, notableWork, 35 and Ticking]
Generated description
35 and Ticking is a romantic comedy film that follows a group of friends in their mid-thirties as they confront the pressures of aging, relationships, and starting families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 35 and Ticking
Target entity description: 35 and Ticking is a romantic comedy film that follows a group of friends in their mid-thirties as they confront the pressures of aging, relationships, and starting families.
  • A. Fifty-Sixty
    "Fifty-Sixty" is a song by French singer Alizée from her electro-pop-influenced album *Psychédélices*.
  • B. Tenages
    Tenages is a figure in Greek mythology, known as one of the Heliadae, the sons of Helios associated with the island of Rhodes.
  • C. Arnett
    Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
  • D. Fifteen
    Fifteen is an American punk rock band formed by Jeff Ott after the breakup of Crimpshrine, known for its politically charged lyrics and socially conscious themes.
  • E. TJ
    TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb69ca0c8190954dbe6c627981f3 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:44 p.m.