Triple

T6190257
Position Surface form Disambiguated ID Type / Status
Subject Not Drowning, Waving E138168 entity
Predicate notableWork P4 FINISHED
Object Tabaran
Tabaran is a 1987 world-fusion album by Australian band Not Drowning, Waving, created in collaboration with musicians from Papua New Guinea.
 E576025 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: Tabaran | Statement: [Not Drowning, Waving, notableWork, Tabaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabaran
Context triple: [Not Drowning, Waving, notableWork, Tabaran]
  • A. Tagabawa
    Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
  • B. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • C. Taranganba
    Taranganba is a coastal residential locality in Queensland, Australia, situated near Yeppoon in the Capricorn Coast region.
  • D. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • E. Kalabar
    Kalabar is the primary villain and dark warlock in Disney's "Halloweentown," who seeks to conquer both the magical realm and the human world.
  • 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: Tabaran
Triple: [Not Drowning, Waving, notableWork, Tabaran]
Generated description
Tabaran is a 1987 world-fusion album by Australian band Not Drowning, Waving, created in collaboration with musicians from Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabaran
Target entity description: Tabaran is a 1987 world-fusion album by Australian band Not Drowning, Waving, created in collaboration with musicians from Papua New Guinea.
  • A. Tagabawa
    Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
  • B. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • C. Taranganba
    Taranganba is a coastal residential locality in Queensland, Australia, situated near Yeppoon in the Capricorn Coast region.
  • D. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • E. Kalabar
    Kalabar is the primary villain and dark warlock in Disney's "Halloweentown," who seeks to conquer both the magical realm and the human world.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621abad48190acb9ec019c065ed4 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f0d5a2881908564442aca29b1ec completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1f5c981dc8190aebfba63dc0055fe completed March 24, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69c1f6390c6481908aa0f0afcba9729d completed March 24, 2026, 2:26 a.m.
Created at: March 22, 2026, 4:19 p.m.