Triple
T36062570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Kiritsubo |
E1043126
|
entity |
| Predicate | receivesFavorFrom |
P149000
|
FINISHED |
| Object | Emperor (The Tale of Genji) |
—
|
NE NERFINISHED |
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: Emperor (The Tale of Genji) | Statement: [Lady Kiritsubo, receivesFavorFrom, Emperor (The Tale of Genji)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesFavorFrom Context triple: [Lady Kiritsubo, receivesFavorFrom, Emperor (The Tale of Genji)]
-
A.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
B.
affectionReciprocated
Indicates that feelings of affection expressed by one entity toward another are mutually returned by the other entity.
-
C.
receivesBoon
chosen
Indicates that one entity is the beneficiary of a boon, gift, or advantageous favor provided by another entity or source.
-
D.
giftedBy
Indicates that one entity has given or presented another entity as a gift to a recipient.
-
E.
isAdmiredBy
Indicates that one entity holds admiration or high regard for another entity.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.