Triple

T19627375
Position Surface form Disambiguated ID Type / Status
Subject Live Today E471172 entity
Predicate track P17929 FINISHED
Object Table Jawn
"Table Jawn" is a musical track featured on the release *Live Today*.
E1386654 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: Table Jawn | Statement: [Live Today, track, Table Jawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Table Jawn
Context triple: [Live Today, track, Table Jawn]
  • A. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • B. Tababela
    Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
  • C. Tisch
    Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
  • D. The Table
    The Table is a distinctive flat-topped volcanic mesa located in Garibaldi Provincial Park in British Columbia, Canada.
  • E. The Table
    "The Table" is the English name of Surah Al-Ma'idah, a chapter of the Qur'an that addresses themes of lawful and unlawful food, covenants, and adherence to divine law.
  • 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: Table Jawn
Triple: [Live Today, track, Table Jawn]
Generated description
"Table Jawn" is a musical track featured on the release *Live Today*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Table Jawn
Target entity description: "Table Jawn" is a musical track featured on the release *Live Today*.
  • A. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • B. Tababela
    Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
  • C. Tisch
    Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
  • D. The Table
    "The Table" is the English name of Surah Al-Ma'idah, a chapter of the Qur'an that addresses themes of lawful and unlawful food, covenants, and adherence to divine law.
  • E. The Table
    The Table is a distinctive flat-topped volcanic mesa located in Garibaldi Provincial Park in British Columbia, Canada.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640eadcc48190ab5e36ddcde0c328 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771bf2698819097690821e66b0d6a completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a07736d8990819081b3ba34f1d3600e completed May 15, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0773f9f8148190822ed74d83fdac97 completed May 15, 2026, 7:28 p.m.
Created at: April 10, 2026, 1:44 p.m.