Triple
T38138550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CL 2249 |
E952415
|
entity |
| Predicate | hasStereoCounterpart |
P6587
|
FINISHED |
| Object | Columbia CS 9049 |
—
|
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: Columbia CS 9049 | Statement: [Columbia CL 2249, hasStereoCounterpart, Columbia CS 9049]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStereoCounterpart Context triple: [Columbia CL 2249, hasStereoCounterpart, Columbia CS 9049]
-
A.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
B.
hasStereoOutput
Indicates that an entity provides or supports audio output in stereo (two-channel) format.
-
C.
hasCounterpart
chosen
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
D.
stereoCapability
Indicates that an entity has the ability to produce, process, or support stereo (two-channel) audio.
-
E.
hasMediaStereotype
Indicates that an entity is associated with a commonly held, simplified, and often biased portrayal in media.
- F. None of above.
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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00acf86e4081909aad9356650e0f79 |
completed | May 10, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_6a00ac813fd08190a0a7782609e74e70 |
completed | May 10, 2026, 4:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.