Triple

T22803604
Position Surface form Disambiguated ID Type / Status
Subject Year One E564468 entity
Predicate mainCharacter P1183 FINISHED
Object Zed
Zed is the protagonist of the 2009 comedy film "Year One," portrayed as a bumbling prehistoric wanderer whose misadventures drive the story.
 E1555780 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: Zed | Statement: [Year One, mainCharacter, Zed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zed
Context triple: [Year One, mainCharacter, Zed]
  • A. Zed
    Zed is the rebellious Exterminator protagonist played by Sean Connery in the 1974 science fiction film "Zardoz."
  • B. Zed
    Zed is the central protagonist of the crime film "Killing Zoe," a professional safecracker drawn into a violent Parisian bank heist.
  • C. Zed
    Zed is a loud, eccentric former gang leader turned bumbling police officer in the Police Academy comedy film series.
  • D. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • E. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • 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: Zed
Triple: [Year One, mainCharacter, Zed]
Generated description
Zed is the protagonist of the 2009 comedy film "Year One," portrayed as a bumbling prehistoric wanderer whose misadventures drive the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zed
Target entity description: Zed is the protagonist of the 2009 comedy film "Year One," portrayed as a bumbling prehistoric wanderer whose misadventures drive the story.
  • A. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • B. Zed
    Zed is the rebellious Exterminator protagonist played by Sean Connery in the 1974 science fiction film "Zardoz."
  • C. Zed
    Zed is the central protagonist of the crime film "Killing Zoe," a professional safecracker drawn into a violent Parisian bank heist.
  • D. Zed
    Zed is a loud, eccentric former gang leader turned bumbling police officer in the Police Academy comedy film series.
  • E. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.