Triple
T22080301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Cuthbert |
E545630
|
entity |
| Predicate | notableGift |
P60597
|
FINISHED |
| Object | brown puffed-sleeve dress for Anne Shirley |
—
|
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: brown puffed-sleeve dress for Anne Shirley | Statement: [Matthew Cuthbert, notableGift, brown puffed-sleeve dress for Anne Shirley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGift Context triple: [Matthew Cuthbert, notableGift, brown puffed-sleeve dress for Anne Shirley]
-
A.
notableBequest
Indicates that one entity is a significant or historically notable bequest, legacy, or inheritance made by another entity.
-
B.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
C.
personalGiftOf
chosen
Indicates that one entity has personally given another entity a gift, emphasizing a direct, individual act of gifting between them.
-
D.
giftability
Indicates the degree to which something is suitable or appropriate to be given as a gift.
-
E.
typeOfGift
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.