Triple

T16453428
Position Surface form Disambiguated ID Type / Status
Subject Stan Love E399611 entity
Predicate givenName P17 FINISHED
Object Stan
Stan is a masculine given name, often a short form of names like Stanley or Stanislav, used in various English-speaking and Slavic countries.
E1215026 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: Stan | Statement: [Stan Love, givenName, Stan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan
Context triple: [Stan Love, givenName, Stan]
  • A. Stan
    Stan is an Australian subscription video-on-demand streaming service offering films, TV series, and original content.
  • B. Stan
    "Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
  • C. Stan
    Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
  • D. Stan
    Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
  • E. Steve
    Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
  • 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: Stan
Triple: [Stan Love, givenName, Stan]
Generated description
Stan is a masculine given name, often a short form of names like Stanley or Stanislav, used in various English-speaking and Slavic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stan
Target entity description: Stan is a masculine given name, often a short form of names like Stanley or Stanislav, used in various English-speaking and Slavic countries.
  • A. Stan
    "Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
  • B. Stan
    Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
  • C. Stan
    Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
  • D. Stan
    Stan is an Australian subscription video-on-demand streaming service offering films, TV series, and original content.
  • E. Steve
    Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce259d88190803930051409d72c completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4e31a08190b121d0cfe2a406c2 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00513b6fcc8190a548b30cb7b4b67f completed May 10, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0051def1d48190b40f55c40ab269d2 completed May 10, 2026, 9:37 a.m.
Created at: April 10, 2026, 5:10 a.m.