Triple

T17158185
Position Surface form Disambiguated ID Type / Status
Subject Mike Watt E416399 entity
Predicate associatedAct P37 FINISHED
Object fIREHOSE E1255011 NE FINISHED

How this triple was built (2 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: fIREHOSE | Statement: [Mike Watt, associatedAct, fIREHOSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fIREHOSE
Context triple: [Mike Watt, associatedAct, fIREHOSE]
  • A. fIREHOSE chosen
    fIREHOSE was an American alternative rock band formed in the mid-1980s by former Minutemen bassist Mike Watt, known for its energetic, punk-influenced sound and DIY ethos.
  • B. firehose
    firehose is an Amazon Web Service that reliably captures, transforms, and delivers real-time streaming data to destinations like data lakes, warehouses, and analytics services.
  • C. FIRE
    FIRE is a near-infrared spectrograph instrument used on large astronomical telescopes to study celestial objects at infrared wavelengths.
  • D. FIREFISH
    FIREFISH is a pivotal clinical trial evaluating the efficacy and safety of risdiplam in infants with Type 1 spinal muscular atrophy.
  • E. Sfireh
    Sfireh is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40d7ef08190a587c7c56f5c8569 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc46c308190b09efb13776747e7 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.