Triple
T36085049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Cash Me Ousside, How Bout Dat" |
E1043752
|
entity |
| Predicate | firstSpokenOn |
P18472
|
FINISHED |
| Object | Dr. Phil |
E480138
|
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: Dr. Phil | Statement: ["Cash Me Ousside, How Bout Dat", firstSpokenOn, Dr. Phil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSpokenOn Context triple: ["Cash Me Ousside, How Bout Dat", firstSpokenOn, Dr. Phil]
-
A.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstAppearedAt
chosen
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
D.
portrayedInFirstTalkingRoleOf
Indicates that an entity portrayed a character in another entity’s first role in a talking (sound) production.
-
E.
firstAppearanceLanguage
Indicates the language in which an entity (such as a work or character) was first introduced or appeared.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ddfb44b88190aedba642e6d337af |
completed | June 22, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.