Triple
T24188425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Millionaire |
E599624
|
entity |
| Predicate | benefactorAssistantCharacter |
P53600
|
FINISHED |
| Object | Michael Anthony |
—
|
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: Michael Anthony | Statement: [The Millionaire, benefactorAssistantCharacter, Michael Anthony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefactorAssistantCharacter Context triple: [The Millionaire, benefactorAssistantCharacter, Michael Anthony]
-
A.
benefactor
chosen
Indicates that one entity provides help, support, or resources to another, typically in a generous or supportive role.
-
B.
philanthropicBeneficiary
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
-
C.
notablePhilanthropicBeneficiary
Indicates that an entity is a significant recipient of philanthropic donations, support, or charitable contributions from another entity.
-
D.
charitableStatusEffect
Indicates how an entity’s charitable or nonprofit status influences its rights, obligations, or interactions within a given context.
-
E.
benefactionLocation
Indicates the place or location where a benefaction (such as a gift, donation, or helpful act) is given, received, or takes effect.
- 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_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. |
Created at: April 17, 2026, 11:35 p.m.