Triple

T11824877
Position Surface form Disambiguated ID Type / Status
Subject Nine Entertainment Co. E281232 entity
Predicate owns P347 FINISHED
Object Stan
Stan is an Australian subscription video-on-demand streaming service offering films, TV series, and original content.
E949714 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: [Nine Entertainment Co., owns, Stan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan
Context triple: [Nine Entertainment Co., owns, Stan]
  • 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. Steve
    Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
  • 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
  • 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: [Nine Entertainment Co., owns, Stan]
Generated description
Stan is an Australian subscription video-on-demand streaming service offering films, TV series, and original content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stan
Target entity description: Stan is an Australian subscription video-on-demand streaming service offering films, TV series, and original content.
  • 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. Steve
    Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: April 8, 2026, 9:43 p.m.