Triple
T22692939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIREFISH |
E561096
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | FIREFISH Part 2 |
—
|
NE NERFINISHED |
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: FIREFISH Part 2 | Statement: [FIREFISH, hasPart, FIREFISH Part 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIREFISH Part 2 Context triple: [FIREFISH, hasPart, FIREFISH Part 2]
-
A.
FIREFISH
chosen
FIREFISH is a pivotal clinical trial evaluating the efficacy and safety of risdiplam in infants with Type 1 spinal muscular atrophy.
-
B.
Fire in the Water
"Fire in the Water" is a moody, atmospheric song by Feist featured on the soundtrack of the film *The Twilight Saga: Breaking Dawn – Part 2*.
-
C.
Feed the Fire
Feed the Fire is a song by the American punk rock band Passwords.
-
D.
Feed the Fire
"Feed the Fire" is a solo studio album by Eagles bassist and vocalist Timothy B. Schmit, showcasing his soft rock and country-rock songwriting and harmonies.
-
E.
Through the Fire
"Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.