Triple

T19198851
Position Surface form Disambiguated ID Type / Status
Subject John Stewart E470044 entity
Predicate wrote P2831 FINISHED
Object Gold
"Gold" is a satirical book by John Stewart that blends sharp humor with social and political commentary.
E1362368 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: Gold | Statement: [John Stewart, wrote, Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold
Context triple: [John Stewart, wrote, Gold]
  • A. Gold
    Gold was the codename for one of the five Allied landing beaches used by British forces during the D-Day invasion of Normandy in World War II.
  • B. Gold
    Gold is a chemical element and precious metal highly valued for its rarity, luster, and use in jewelry, currency, and electronics.
  • C. Gold
    Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
  • D. Gold
    "Gold" is a popular song performed by British singer Tony Hadley as the lead vocalist of the band Spandau Ballet, known for its anthemic style and enduring 1980s appeal.
  • E. GOLD
    GOLD is the radio call sign historically used by the British royal yacht HMY Britannia.
  • 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: Gold
Triple: [John Stewart, wrote, Gold]
Generated description
"Gold" is a satirical book by John Stewart that blends sharp humor with social and political commentary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gold
Target entity description: "Gold" is a satirical book by John Stewart that blends sharp humor with social and political commentary.
  • A. Gold
    Gold was the codename for one of the five Allied landing beaches used by British forces during the D-Day invasion of Normandy in World War II.
  • B. Gold
    Gold is a chemical element and precious metal highly valued for its rarity, luster, and use in jewelry, currency, and electronics.
  • C. Gold
    Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
  • D. Gold
    "Gold" is a popular song performed by British singer Tony Hadley as the lead vocalist of the band Spandau Ballet, known for its anthemic style and enduring 1980s appeal.
  • E. GOLD
    GOLD is the radio call sign historically used by the British royal yacht HMY Britannia.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a8daac8190b3558a1388596fb0 completed April 20, 2026, 9:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8c2805c8190be95a283c7db864f completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f948932c8190a4ce08178c00b251 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9e1fb708190958c64fd38d32d04 completed May 15, 2026, 10:48 a.m.
Created at: April 10, 2026, 12:07 p.m.