Triple
T15166016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upgrade & Afterlife |
E362342
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Camoufleur |
E362343
|
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: Camoufleur | Statement: [Upgrade & Afterlife, followedBy, Camoufleur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camoufleur Context triple: [Upgrade & Afterlife, followedBy, Camoufleur]
-
A.
Camoufleur
chosen
Camoufleur is an experimental rock album by Gastr del Sol that blends avant-garde composition with melodic, song-oriented structures.
-
B.
La Lézarde
La Lézarde is a novel by Édouard Glissant that explores anti-colonial struggle and Caribbean identity through the intertwined lives of villagers in Martinique.
-
C.
Terret Noir
Terret Noir is a light-colored, relatively rare French wine grape variety traditionally used in southern Rhône and Languedoc blends for its freshness and acidity.
-
D.
Crémines
Crémines is a small Swiss village in the French-speaking Jura bernois region of the canton of Bern.
-
E.
Bachet Noir
Bachet Noir is a rare, old French wine grape variety historically used in the Champagne region and known primarily as a parent of the modern grape variety Gamay.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.