Triple
T37986727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | About Schmidt |
E947707
|
entity |
| Predicate | supportingActressAwardNomination |
P31998
|
FINISHED |
| Object | Kathy Bates |
E221578
|
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: Kathy Bates | Statement: [About Schmidt, supportingActressAwardNomination, Kathy Bates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportingActressAwardNomination Context triple: [About Schmidt, supportingActressAwardNomination, Kathy Bates]
-
A.
supportingActressNominee
chosen
Indicates that a person has been nominated for an award in the category of supporting actress.
-
B.
supportingActressRole
Indicates that an actress performs a supporting (non-leading) role in a particular production or work.
-
C.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
-
D.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
E.
bestSupportingActressWinner
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
- F. None of above.
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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41852d643c8190a7b5b8ff79a8fa3a |
completed | June 28, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.