Triple
T22037613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilo Kish |
E544250
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Across
"Across" is a genre-blending music project by American singer and visual artist Kilo Kish that showcases her experimental approach to pop, R&B, and electronic sounds.
|
E1515151
|
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: Across | Statement: [Kilo Kish, notableWork, Across]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Across Context triple: [Kilo Kish, notableWork, Across]
-
A.
Cross
Cross is a common English surname borne by numerous notable individuals in fields such as entertainment, sports, and politics.
-
B.
Cross
Cross is a crime novel by James Patterson featuring detective Alex Cross in a case that forces him to confront a brutal figure from his past.
-
C.
Cross
Cross is an experimental artwork by American assemblage and collage artist Wallace Berman, reflecting his pioneering role in the Beat-era avant-garde.
-
D.
CrissCross
CrissCross is a 1992 American drama film set in 1969 Florida, following a struggling single mother and her young son who becomes involved in drug smuggling to help support them.
-
E.
Cross Counter
Cross Counter is a British Thoroughbred racehorse best known for winning the 2018 Melbourne Cup.
- 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: Across Triple: [Kilo Kish, notableWork, Across]
Generated description
"Across" is a genre-blending music project by American singer and visual artist Kilo Kish that showcases her experimental approach to pop, R&B, and electronic sounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Across Target entity description: "Across" is a genre-blending music project by American singer and visual artist Kilo Kish that showcases her experimental approach to pop, R&B, and electronic sounds.
-
A.
Cross
Cross is a common English surname borne by numerous notable individuals in fields such as entertainment, sports, and politics.
-
B.
Cross
Cross is a crime novel by James Patterson featuring detective Alex Cross in a case that forces him to confront a brutal figure from his past.
-
C.
Cross
Cross is an experimental artwork by American assemblage and collage artist Wallace Berman, reflecting his pioneering role in the Beat-era avant-garde.
-
D.
CrissCross
CrissCross is a 1992 American drama film set in 1969 Florida, following a struggling single mother and her young son who becomes involved in drug smuggling to help support them.
-
E.
Cross Counter
Cross Counter is a British Thoroughbred racehorse best known for winning the 2018 Melbourne Cup.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b6d4f2c8190b1d8fb2044cdc3d5 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c4736808190bd04e03adcb2d97b |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d80f9c08190b18e04b9e9cf47a5 |
completed | May 18, 2026, 2:46 a.m. |
Created at: April 16, 2026, 8:25 p.m.