Triple
T34938624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert (Cathedral) |
E1007650
|
entity |
| Predicate | metNarratorWifeAt |
P29935
|
FINISHED |
| Object | her previous job as a reader for the blind |
—
|
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: her previous job as a reader for the blind | Statement: [Robert (Cathedral), metNarratorWifeAt, her previous job as a reader for the blind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metNarratorWifeAt Context triple: [Robert (Cathedral), metNarratorWifeAt, her previous job as a reader for the blind]
-
A.
hasSpouseInStory
Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
-
B.
metSpouseAt
chosen
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
-
C.
metSpouseThrough
Indicates that one person became acquainted with and subsequently married their spouse as a result of a particular intermediary person, event, place, or context.
-
D.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
E.
principalWifeOf
Indicates that one person is the primary or main wife of another person, typically among multiple spouses.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.