Triple
T15681692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Harris |
E377591
|
entity |
| Predicate | visitsTokyoFor |
P102055
|
FINISHED |
| Object | whisky commercial shoot |
—
|
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: whisky commercial shoot | Statement: [Bob Harris, visitsTokyoFor, whisky commercial shoot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitsTokyoFor Context triple: [Bob Harris, visitsTokyoFor, whisky commercial shoot]
-
A.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
-
B.
locatedInDirectionFromTokyo
Indicates that one place is situated in a specified compass direction relative to Tokyo.
-
C.
cityVisited
Indicates that an entity has traveled to and spent time in a particular city.
-
D.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
-
E.
journeyPurpose
chosen
Indicates the reason or intended goal motivating an entity’s journey or trip.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.