Triple
T9880028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirkut |
E180774
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dark Horse |
E171171
|
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: Dark Horse | Statement: [Cirkut, notableWork, Dark Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Horse Context triple: [Cirkut, notableWork, Dark Horse]
-
A.
Dark Horse
"Dark Horse" is a 1974 studio album by former Beatle George Harrison, noted for its introspective songs and the launch of his Dark Horse Records label.
-
B.
Dark Horse
chosen
"Dark Horse" is a 2013 trap-pop and hip hop-influenced song by American singer Katy Perry featuring rapper Juicy J that became a global hit and one of her signature tracks.
-
C.
Dark Horse
"Dark Horse" is a popular song by the American rock band Prism, known for its melodic rock style and strong radio presence in the late 1970s and early 1980s.
-
D.
Dark Horse
Dark Horse is a modern, track-focused high-performance variant of the Ford Mustang designed to deliver enhanced power, handling, and racing capability.
-
E.
Dark Horse
"Dark Horse" is a rapid-fire hip-hop track by Chicago rapper Twista, showcasing his signature fast-paced lyrical delivery.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e48665e88190ab8a4a30b1df8ebe |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:38 p.m.