Triple
T34414845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Sand County Almanac |
E883370
|
entity |
| Predicate | hasInfluentialQuote |
P112546
|
FINISHED |
| Object | “Thinking like a mountain.” |
—
|
NE NERFINISHED |
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: “Thinking like a mountain.” | Statement: [A Sand County Almanac, hasInfluentialQuote, “Thinking like a mountain.”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluentialQuote Context triple: [A Sand County Almanac, hasInfluentialQuote, “Thinking like a mountain.”]
-
A.
hasInfluentialAuthor
Indicates that an entity has an author whose work has had significant impact or influence in a relevant domain.
-
B.
hasInfluentialStory
Indicates that one entity possesses or is associated with a story that significantly shapes, impacts, or guides the beliefs, actions, or development of another entity.
-
C.
hasInfluentialStatus
Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
-
D.
hasInfluentialProposition
chosen
Indicates that one entity has a proposition or statement that significantly shapes, guides, or impacts the ideas, decisions, or behavior of another entity.
-
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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0027e4a59481909417b2531daaf480 |
completed | May 10, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0026a42bc08190ad3322ce625a523a |
completed | May 10, 2026, 6:33 a.m. |
Created at: May 1, 2026, 1:59 a.m.