Triple
T6555522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Stevens |
E152436
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Incubus |
E604743
|
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: Incubus | Statement: [Leslie Stevens, notableWork, Incubus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Incubus Context triple: [Leslie Stevens, notableWork, Incubus]
-
A.
Incubus
Incubus is an American rock band known for blending alternative rock, funk, metal, and electronic elements into a distinctive, genre-crossing sound.
-
B.
Incubus
chosen
Incubus is a 1966 black-and-white horror film notable for its use of the constructed language Esperanto and its eerie, atmospheric storytelling.
-
C.
Seether
Seether is a South African rock band known for its post-grunge and alternative metal sound and hits like "Broken" and "Remedy."
-
D.
Puddle of Mudd
Puddle of Mudd is an American post-grunge rock band best known for early-2000s hits like "Blurry," "She Hates Me," and "Control."
-
E.
Candlebox
Candlebox is an American rock band, prominent in the 1990s post-grunge scene and best known for hits like "Far Behind" and "You."
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4234c148190b19d36903cb67651 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:51 p.m.