Triple
T24950004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shot heard round the world |
E624301
|
entity |
| Predicate | yearPhraseCoined |
P138751
|
FINISHED |
| Object | 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: 1837 | Statement: [Shot heard round the world, yearPhraseCoined, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearPhraseCoined Context triple: [Shot heard round the world, yearPhraseCoined, 1837]
-
A.
languageOfCoinedTerm
Indicates the language in which a particular term was originally coined or first formulated.
-
B.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
C.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
D.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
-
E.
becameCatchphraseIn
chosen
Indicates that a phrase or expression came to be widely recognized and used as a catchphrase within a particular context, group, or time period.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f423ff8a448190bacc4e8ff2e20e1a |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:56 a.m.