Triple
T18523296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharona Fleming |
E452644
|
entity |
| Predicate | relationshipToMonk |
P132003
|
FINISHED |
| Object | assistant |
—
|
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: assistant | Statement: [Sharona Fleming, relationshipToMonk, assistant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMonk Context triple: [Sharona Fleming, relationshipToMonk, assistant]
-
A.
wasMonkOf
Indicates that a person was a member or monk belonging to a particular religious order, monastery, or monastic community.
-
B.
typeOfMonk
Indicates that one entity is a specific kind or category of monk in relation to another entity.
-
C.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
-
D.
numberOfMonks
Indicates the quantity or count of monks associated with a given entity or context.
-
E.
relationshipToMahāpajāpatīGotamī
Indicates the specific familial or relational connection an entity has to Mahāpajāpatī Gotamī.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338f6da48190bdb374019d10db05 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.