Triple
T28145942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CS 9594 |
E714479
|
entity |
| Predicate | languageOfLinerNotes |
P195037
|
FINISHED |
| Object | English |
—
|
LITERAL 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: English | Statement: [Columbia CS 9594, languageOfLinerNotes, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLinerNotes Context triple: [Columbia CS 9594, languageOfLinerNotes, English]
-
A.
hasLinerNote
Indicates that an item (such as a recording or release) is accompanied by a specific liner note document or text.
-
B.
hasLinerNotesWrittenBy
Indicates that the liner notes of an item (such as an album or release) are authored by a specified agent.
-
C.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
D.
languageOfTrackTitles
Indicates the language in which the titles of the tracks are written or presented.
-
E.
hasBilingualLyrics
Indicates that the lyrics of a work are written or performed in two different languages.
- F. None of above. chosen
Provenance (4 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: April 27, 2026, 9:56 p.m.