Triple

T246454
Position Surface form Disambiguated ID Type / Status
Subject Ted 2 E5048 entity
Predicate partOfSeries P1761 FINISHED
Object Ted film series
The Ted film series is a comedy franchise centered on the crude, foul-mouthed living teddy bear Ted and his misadventures with his best friend John.
 E11614 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: Ted film series | Statement: [Ted 2, partOfSeries, Ted film series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted film series
Context triple: [Ted 2, partOfSeries, Ted film series]
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Ted
    Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
  • C. Kaiju
    Kaiju are colossal, monstrous creatures from Japanese science fiction and popular culture, often depicted as city-destroying beasts that battle humanity or other giant monsters.
  • D. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • E. Stranger Things
    Stranger Things is a popular science fiction–horror television series set in the 1980s that follows a group of kids in a small town confronting supernatural forces and secret government experiments.
  • 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: Ted film series
Triple: [Ted 2, partOfSeries, Ted film series]
Generated description
The Ted film series is a comedy franchise centered on the crude, foul-mouthed living teddy bear Ted and his misadventures with his best friend John.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted film series
Target entity description: The Ted film series is a comedy franchise centered on the crude, foul-mouthed living teddy bear Ted and his misadventures with his best friend John.
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Ted chosen
    Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
  • C. Kaiju
    Kaiju are colossal, monstrous creatures from Japanese science fiction and popular culture, often depicted as city-destroying beasts that battle humanity or other giant monsters.
  • D. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • E. Stranger Things
    Stranger Things is a popular science fiction–horror television series set in the 1980s that follows a group of kids in a small town confronting supernatural forces and secret government experiments.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d7b01fc8190a5c596b748bbaa53 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36df1839081909c743e1357dd400a completed Feb. 28, 2026, 10:36 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.