Triple
T11931843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimball O'Hara |
E283932
|
entity |
| Predicate | journeysWith |
P83703
|
FINISHED |
| Object | Tibetan lama |
—
|
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: Tibetan lama | Statement: [Kimball O'Hara, journeysWith, Tibetan lama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: journeysWith Context triple: [Kimball O'Hara, journeysWith, Tibetan lama]
-
A.
journeysAcross
Indicates that an entity travels or moves from one side or area to another, passing over or through an intervening space or boundary.
-
B.
journeyDestination
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
C.
voyageWith
chosen
Indicates that two or more entities travel together on the same journey or trip, sharing a common route or voyage.
-
D.
travelRouteOf
Indicates the path or itinerary that an entity follows or uses when traveling from one location to another.
-
E.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.