Triple

T4786576
Position Surface form Disambiguated ID Type / Status
Subject Pylon (band) origin scene E106492 entity
Predicate associatedBand P6597 FINISHED
Object Oh-OK
Oh-OK was an early 1980s Athens, Georgia indie pop band known for its minimalist, off-kilter sound and for featuring future members of influential alternative acts.
 E470125 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: Oh-OK | Statement: [Pylon (band) origin scene, associatedBand, Oh-OK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oh-OK
Context triple: [Pylon (band) origin scene, associatedBand, Oh-OK]
  • A. Whoa
    "Whoa" is a song released as a single from the work titled "The Naked Truth."
  • B. Or Nah
    "Or Nah" is a popular hip-hop/R&B single by Ty Dolla Sign featuring Wiz Khalifa and DJ Mustard, known for its explicit lyrics and catchy, minimalist production.
  • C. Uh-Oa!
    Uh-Oa! is a theatrically presented, shareable tiki cocktail at Trader Sam's Grog Grotto, known for its elaborate flaming garnish and interactive presentation.
  • D. OKA
    OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
  • E. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • 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: Oh-OK
Triple: [Pylon (band) origin scene, associatedBand, Oh-OK]
Generated description
Oh-OK was an early 1980s Athens, Georgia indie pop band known for its minimalist, off-kilter sound and for featuring future members of influential alternative acts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oh-OK
Target entity description: Oh-OK was an early 1980s Athens, Georgia indie pop band known for its minimalist, off-kilter sound and for featuring future members of influential alternative acts.
  • A. Whoa
    "Whoa" is a song released as a single from the work titled "The Naked Truth."
  • B. Or Nah
    "Or Nah" is a popular hip-hop/R&B single by Ty Dolla Sign featuring Wiz Khalifa and DJ Mustard, known for its explicit lyrics and catchy, minimalist production.
  • C. Uh-Oa!
    Uh-Oa! is a theatrically presented, shareable tiki cocktail at Trader Sam's Grog Grotto, known for its elaborate flaming garnish and interactive presentation.
  • D. OKA
    OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
  • E. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65d8f9d881909c24340b8dc6a104 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e01f6c81909ca0121c36d107e9 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be45cc228c8190942280ef3852caf7 completed March 21, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69be467ffd50819090c92df520c91642 completed March 21, 2026, 7:19 a.m.
Created at: March 20, 2026, 1:22 p.m.