Triple

T56551
Position Surface form Disambiguated ID Type / Status
Subject Seth MacFarlane E1118 entity
Predicate notableWork P4 FINISHED
Object Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
 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 | Statement: [Seth MacFarlane, notableWork, Ted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted
Context triple: [Seth MacFarlane, notableWork, Ted]
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • E. Linus
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • 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
Triple: [Seth MacFarlane, notableWork, Ted]
Generated description
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted
Target entity description: Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • E. Linus
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b07f4a881909e32115e84da02a3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bff33b8819084f00ed115ebedeb completed Feb. 28, 2026, 5:24 a.m.
NEDg Description generation batch_69a27f2f07d88190832000212142b088 completed Feb. 28, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a27ffd4818819091a276d54c750dc0 completed Feb. 28, 2026, 5:41 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.