Triple
T24188440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Millionaire |
E599624
|
entity |
| Predicate | anonymousGiftsAmount |
P155614
|
FINISHED |
| Object | one million dollars |
—
|
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: one million dollars | Statement: [The Millionaire, anonymousGiftsAmount, one million dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anonymousGiftsAmount Context triple: [The Millionaire, anonymousGiftsAmount, one million dollars]
-
A.
namingGiftAmount
Indicates the specific monetary value required or given for a naming-related gift or sponsorship.
-
B.
giftability
Indicates the degree to which something is suitable or appropriate to be given as a gift.
-
C.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
D.
personalGiftOf
Indicates that one entity has personally given another entity a gift, emphasizing a direct, individual act of gifting between them.
-
E.
giftType
Indicates the specific category or kind of gift involved in the relationship or transaction.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:35 p.m.