Triple
T16343424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jody Morrill Wolcott |
E396864
|
entity |
| Predicate | knownBefore |
P123044
|
FINISHED |
| Object | Johnny Carson’s rise to national fame |
—
|
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: Johnny Carson’s rise to national fame | Statement: [Jody Morrill Wolcott, knownBefore, Johnny Carson’s rise to national fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownBefore Context triple: [Jody Morrill Wolcott, knownBefore, Johnny Carson’s rise to national fame]
-
A.
discoveredBefore
Indicates that one entity was discovered earlier in time than another entity.
-
B.
usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
C.
previouslyIn
Indicates that an entity was located in, part of, or associated with another entity at some earlier time, but is not necessarily so now.
-
D.
knownSince
Indicates the point in time from which one entity has been aware of, acquainted with, or in possession of knowledge about another entity.
-
E.
previouslyObserved
Indicates that the subject entity has been seen, recorded, or encountered at some earlier time prior to the current context.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0b88d081908a99cafa8e0ae5db |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.