Triple

T7713814
Position Surface form Disambiguated ID Type / Status
Subject Gawker Media E174831 entity
Predicate owns P347 FINISHED
Object Gawker
Gawker was a New York–based gossip and news website known for its irreverent coverage of media, celebrities, and internet culture.
 E174831 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: Gawker | Statement: [Gawker Media, owns, Gawker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gawker
Context triple: [Gawker Media, owns, Gawker]
  • A. Gawker Media
    Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
  • B. Cheezburger Network
    Cheezburger Network is a humor and entertainment website network best known for hosting viral meme and image macro sites like I Can Has Cheezburger?.
  • C. The Onion
    The Onion is a distinctive, modernist London building known for its layered, bulb-like architectural design that resembles the shape of an onion.
  • D. The Daily Beast
    The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
  • E. Blabbermouth
    Blabbermouth is a brave, sharp-tongued page and skilled juggler who becomes one of Haroun’s key allies in Salman Rushdie’s novel "Haroun and the Sea of Stories."
  • 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: Gawker
Triple: [Gawker Media, owns, Gawker]
Generated description
Gawker was a New York–based gossip and news website known for its irreverent coverage of media, celebrities, and internet culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gawker
Target entity description: Gawker was a New York–based gossip and news website known for its irreverent coverage of media, celebrities, and internet culture.
  • A. Gawker Media chosen
    Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
  • B. Cheezburger Network
    Cheezburger Network is a humor and entertainment website network best known for hosting viral meme and image macro sites like I Can Has Cheezburger?.
  • C. The Onion
    The Onion is a distinctive, modernist London building known for its layered, bulb-like architectural design that resembles the shape of an onion.
  • D. The Daily Beast
    The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
  • E. Blabbermouth
    Blabbermouth is a brave, sharp-tongued page and skilled juggler who becomes one of Haroun’s key allies in Salman Rushdie’s novel "Haroun and the Sea of Stories."
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd3e9f88190adf42ab42c21b722 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8adbca88c819080cf255728a986b3 completed March 29, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69c8ae50d69881909530db8d874dace2 completed March 29, 2026, 4:45 a.m.
Created at: March 27, 2026, 4:04 p.m.