Triple
T16321841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Brown Jug |
E396312
|
entity |
| Predicate | approximatePurse |
P122697
|
FINISHED |
| Object | $600,000+ |
—
|
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: $600,000+ | Statement: [Little Brown Jug, approximatePurse, $600,000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximatePurse Context triple: [Little Brown Jug, approximatePurse, $600,000+]
-
A.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
-
B.
purse
Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
-
C.
purseRecord
Indicates a record or log entry that captures the state, contents, or transactions associated with a purse or similar container of funds.
-
D.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
-
E.
purseForeman
Indicates a relationship where someone persistently pursues, pressures, or chases after a foreman in the context of work or supervision.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b706108190b43a05b784633050 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.