Triple
T37263335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Sculptors |
E924311
|
entity |
| Predicate | typicalCommission |
P39279
|
FINISHED |
| Object | public memorial |
—
|
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: public memorial | Statement: [Smith Sculptors, typicalCommission, public memorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCommission Context triple: [Smith Sculptors, typicalCommission, public memorial]
-
A.
typicalRankOnCommission
Indicates the usual or standard rank an individual holds while serving on a particular commission.
-
B.
commissionType
chosen
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
-
C.
relatedCommission
Indicates that one commission is connected or associated with another commission in a relevant contextual or functional way.
-
D.
commissionSize
Indicates the amount or proportion of commission associated with a particular transaction or agreement.
-
E.
standardCommissionRateBeforeProgram
Indicates the commission rate that applied under standard terms before a specific program or special arrangement took effect.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.