Triple
T34409081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry (Love Actually) |
E883202
|
entity |
| Predicate | intendedGiftFor |
P194916
|
FINISHED |
| Object | Karen (Love Actually) |
—
|
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: Karen (Love Actually) | Statement: [Harry (Love Actually), intendedGiftFor, Karen (Love Actually)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedGiftFor Context triple: [Harry (Love Actually), intendedGiftFor, Karen (Love Actually)]
-
A.
personalGiftOf
Indicates that one entity has personally given another entity a gift, emphasizing a direct, individual act of gifting between them.
-
B.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
C.
giftType
Indicates the specific category or kind of gift involved in the relationship or transaction.
-
D.
typeOfGift
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
-
E.
giftOccasion
Indicates that a gift is given in connection with, or to celebrate, a particular occasion or event.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: May 1, 2026, 1:59 a.m.