Triple
T30193179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Baxter |
E767549
|
entity |
| Predicate | hasGivenAcclaimedPerformance |
P170445
|
FINISHED |
| Object | Prince Hal in Chimes at Midnight |
—
|
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: Prince Hal in Chimes at Midnight | Statement: [Keith Baxter, hasGivenAcclaimedPerformance, Prince Hal in Chimes at Midnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenAcclaimedPerformance Context triple: [Keith Baxter, hasGivenAcclaimedPerformance, Prince Hal in Chimes at Midnight]
-
A.
acclaimedFor
Indicates that an entity receives widespread praise or recognition specifically for another entity, such as a work, achievement, or contribution.
-
B.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
C.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
D.
hasAwardedForFilmIndustry
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
-
E.
academyAwardWinningPerformances
Indicates that the performances in question have won an Academy Award (Oscar) for acting.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 7:29 p.m.