Triple
T9519521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sister James |
E229609
|
entity |
| Predicate | orderOrRole |
P88512
|
FINISHED |
| Object | young sister |
—
|
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: young sister | Statement: [Sister James, orderOrRole, young sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOrRole Context triple: [Sister James, orderOrRole, young sister]
-
A.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
B.
ordinationRole
Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
-
C.
orderAuthority
Indicates that one entity has the formal power or right to issue orders or directives to another entity.
-
D.
orderFoundedBy
Indicates that a particular order or organization was established or created by a specific person or entity.
-
E.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9883c5c48190a6583921afe9730a |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89f1d748190bf3636bea28d8a37 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:59 p.m.