Triple
T21816579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voices |
E538619
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | X-Static |
—
|
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: X-Static | Statement: [Voices, follows, X-Static]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X-Static Context triple: [Voices, follows, X-Static]
-
A.
X-Perto
X-Perto is a music album by Cuban musician X Alfonso that blends elements of rock, hip-hop, and Afro-Cuban rhythms.
-
B.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
C.
X-craft
The X-craft were British midget submarines used during World War II for covert operations, including attacks on heavily defended enemy warships.
-
D.
Heard It on the X
"Heard It on the X" is a high-energy rock song by ZZ Top that pays tribute to the powerful Mexican border-blaster radio stations that influenced the band’s early musical tastes.
-
E.
X-Statix
chosen
X-Statix is a satirical Marvel Comics superhero team and series known for its dark humor, media-obsessed characters, and subversive take on celebrity culture.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.