Triple
T16993815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrat |
E412262
|
entity |
| Predicate | mainObsession |
P49999
|
FINISHED |
| Object | acorn |
—
|
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: acorn | Statement: [Scrat, mainObsession, acorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainObsession Context triple: [Scrat, mainObsession, acorn]
-
A.
obsessionWith
chosen
Indicates an intense, persistent, and often overwhelming preoccupation or fixation that one entity has toward another entity or object.
-
B.
romanticallyObsessedWith
Indicates a strong, often overwhelming romantic fixation or preoccupation that one entity has toward another.
-
C.
focusesOnMysteries
Indicates that the subject concentrates attention or effort specifically on mysteries, such as puzzling events, unknown phenomena, or unsolved cases.
-
D.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
-
E.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d28535788190bdfcb6201a9024b5 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.