Triple
T36779902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Seat at the Table |
E908737
|
entity |
| Predicate | featuresSpokenInterludesBy |
P149125
|
FINISHED |
| Object | Master P |
E75635
|
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: Master P | Statement: [A Seat at the Table, featuresSpokenInterludesBy, Master P]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenInterludesBy Context triple: [A Seat at the Table, featuresSpokenInterludesBy, Master P]
-
A.
featuresSpokenSection
Indicates that something includes or contains a portion that is delivered or expressed through spoken words or speech.
-
B.
featuresVocalInterjectionsBy
chosen
Indicates that something (such as a work or recording) contains vocal interjections performed or contributed by a specified entity.
-
C.
featuresSpokenVerses
Indicates that something includes or presents spoken verses as a notable component or element.
-
D.
featuresInstrumentalDialogue
Indicates that the situation or work includes dialogue that serves an instrumental or functional purpose, such as advancing a task, plan, or procedure.
-
E.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
- F. None of above.
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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d179f92cc8190950471bd7f6f0fc2 |
completed | June 25, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.