Triple
T8118447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Capra Achievement Award |
E189538
|
entity |
| Predicate | typeOfRecipientRole |
P5518
|
FINISHED |
| Object | below-the-line production staff |
—
|
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: below-the-line production staff | Statement: [Frank Capra Achievement Award, typeOfRecipientRole, below-the-line production staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRecipientRole Context triple: [Frank Capra Achievement Award, typeOfRecipientRole, below-the-line production staff]
-
A.
hasRecipientRole
Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
-
B.
typeOfRole
chosen
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
C.
hasTypeOfRecipient
Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
-
D.
beneficiaryRole
Indicates that one entity serves as the beneficiary or recipient of an action, service, or resource provided by another entity.
-
E.
beneficiaryType
Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.