Triple
T7242987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Thinking |
E156401
|
entity |
| Predicate | firstPresentedBy |
P27326
|
FINISHED |
| Object | Ralph Waldo Emerson in 1837 |
—
|
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: Ralph Waldo Emerson in 1837 | Statement: [Man Thinking, firstPresentedBy, Ralph Waldo Emerson in 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPresentedBy Context triple: [Man Thinking, firstPresentedBy, Ralph Waldo Emerson in 1837]
-
A.
firstAnnouncedBy
Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
-
B.
firstPresentedFor
chosen
Indicates that one entity was initially introduced, submitted, or shown to another entity at a particular time or context.
-
C.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea56756c8190996c2390902f166a |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.