Triple
T31820761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandma Annie |
E812250
|
entity |
| Predicate | guidesDuring |
P58316
|
FINISHED |
| Object | magical, moonlit journey |
—
|
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: magical, moonlit journey | Statement: [Grandma Annie, guidesDuring, magical, moonlit journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesDuring Context triple: [Grandma Annie, guidesDuring, magical, moonlit journey]
-
A.
hasGuides
Indicates that an entity is associated with one or more guides that provide direction, instruction, or assistance.
-
B.
guidesAfterEvent
Indicates that one entity provides guidance or direction to another entity following a specific event or occurrence.
-
C.
inGuidebook
Indicates that something is included or featured as an entry within a guidebook.
-
D.
hasGuidebook
Indicates that an entity possesses, is associated with, or is provided with a guidebook.
-
E.
guidesThroughRealm
chosen
Indicates that one entity leads or directs another entity through a particular realm, domain, or environment.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6af7f24a881909e6ae0d937e90ea2 |
completed | May 3, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:45 p.m.