Triple
T15260558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eclipse |
E364761
|
entity |
| Predicate | famousSayingAssociated |
P23420
|
FINISHED |
| Object | Eclipse first, the rest nowhere |
—
|
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: Eclipse first, the rest nowhere | Statement: [Eclipse, famousSayingAssociated, Eclipse first, the rest nowhere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousSayingAssociated Context triple: [Eclipse, famousSayingAssociated, Eclipse first, the rest nowhere]
-
A.
associatedWithFamousSlogan
chosen
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
B.
famousLineSpeaker
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
C.
associatedWithAnecdote
Indicates a relationship where something is linked or connected to a particular anecdote, such as being based on, derived from, or exemplified by that anecdotal account.
-
D.
historicalFigureAssociated
Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
-
E.
oftenMisquotedAs
Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.