Triple
T12150238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Arnold |
E289432
|
entity |
| Predicate | lastSeenPurchasing |
P103224
|
FINISHED |
| Object | box of chocolates |
—
|
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: box of chocolates | Statement: [Dorothy Arnold, lastSeenPurchasing, box of chocolates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastSeenPurchasing Context triple: [Dorothy Arnold, lastSeenPurchasing, box of chocolates]
-
A.
lastSeenOn
Indicates the most recent time or date at which the subject entity was observed, detected, or recorded.
-
B.
lastSignalDate
Indicates the date on which the most recent signal or communication event occurred between the related entities.
-
C.
lastUsedFor
Indicates that one entity was the most recent purpose, function, or application for which another entity was used.
-
D.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
E.
lastSpeechDate
Indicates the date on which an entity most recently gave or delivered a speech.
- F. None of above. chosen
Provenance (4 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d915d58ab881908b5b7901990308a4 |
completed | April 10, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:49 p.m.