Triple
T38276465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot (2023 revival) |
E1021969
|
entity |
| Predicate | featuredActorNominee |
P204575
|
FINISHED |
| Object | Jordan Donica |
E2139000
|
NE 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: Jordan Donica | Statement: [Camelot (2023 revival), featuredActorNominee, Jordan Donica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredActorNominee Context triple: [Camelot (2023 revival), featuredActorNominee, Jordan Donica]
-
A.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
B.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
-
C.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
D.
screenActorsGuildAwardNominee
Indicates that an entity has been nominated for a Screen Actors Guild Award.
-
E.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
- F. None of above. chosen
Provenance (5 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41a7dbe4b081908a61c637ab370906 |
completed | June 28, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.