Triple
T17519092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KISS principle |
E426640
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object |
KISS
KISS is an acronym for a design principle that advocates keeping systems and solutions as simple and straightforward as possible.
|
E1273268
|
NE FINISHED |
How this triple was built (4 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: KISS | Statement: [KISS principle, hasAcronym, KISS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KISS Context triple: [KISS principle, hasAcronym, KISS]
-
A.
KISS
KISS is a family of double-deck electric multiple unit trains produced by Stadler Rail for high-capacity regional and commuter services.
-
B.
Kiss
Kiss is Carly Rae Jepsen’s 2012 pop studio album that features her breakout hit “Call Me Maybe” and helped establish her international fame.
-
C.
Kiss
Kiss is an American rock band known for their elaborate stage makeup, theatrical live performances, and influential role in hard rock and heavy metal music.
-
D.
Kiss
"Kiss" is a 1988 cover version of Prince's hit song performed by Welsh singer Tom Jones in collaboration with the band Art of Noise.
-
E.
Kiss
"Kiss" is a renowned performance artwork by Tino Sehgal in which a pair of performers enact a continuous, evolving embrace that references iconic kisses from art history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KISS Triple: [KISS principle, hasAcronym, KISS]
Generated description
KISS is an acronym for a design principle that advocates keeping systems and solutions as simple and straightforward as possible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KISS Target entity description: KISS is an acronym for a design principle that advocates keeping systems and solutions as simple and straightforward as possible.
-
A.
KISS
KISS is a family of double-deck electric multiple unit trains produced by Stadler Rail for high-capacity regional and commuter services.
-
B.
Kiss
Kiss is an American rock band known for their elaborate stage makeup, theatrical live performances, and influential role in hard rock and heavy metal music.
-
C.
Kiss
"Kiss" is a 1988 cover version of Prince's hit song performed by Welsh singer Tom Jones in collaboration with the band Art of Noise.
-
D.
Kiss
Kiss is Carly Rae Jepsen’s 2012 pop studio album that features her breakout hit “Call Me Maybe” and helped establish her international fame.
-
E.
Kiss
"Kiss" is a renowned performance artwork by Tino Sehgal in which a pair of performers enact a continuous, evolving embrace that references iconic kisses from art history.
- F. None of above. chosen
Provenance (5 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9408a188190b03fd6c83b743995 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01caa08fd08190bafa8e8acce9b0a5 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cafa20a8819084aaa2f6d28e918d |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.