Triple
T11842244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Louisville Lip |
E281680
|
entity |
| Predicate | coinedFor |
P118
|
FINISHED |
| Object | Muhammad Ali's outspoken interviews |
—
|
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: Muhammad Ali's outspoken interviews | Statement: [The Louisville Lip, coinedFor, Muhammad Ali's outspoken interviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinedFor Context triple: [The Louisville Lip, coinedFor, Muhammad Ali's outspoken interviews]
-
A.
coinedIn
Indicates that something (typically a term, phrase, or name) was first created or introduced at a particular time or in a particular place.
-
B.
coinedTerm
chosen
Indicates that an entity originated and introduced a particular term or expression into use.
-
C.
coinedDesign
Indicates that an entity originated or created a particular design or stylistic concept.
-
D.
coinedDenomination
Indicates that an entity created or introduced a particular name, term, or denomination for something.
-
E.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.