Triple
T14974611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alonzo Harris |
E373410
|
entity |
| Predicate | awardWonByPortrayerForRole |
P36868
|
FINISHED |
| Object | Denzel Washington – Academy Award for Best Actor |
—
|
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: Denzel Washington – Academy Award for Best Actor | Statement: [Alonzo Harris, awardWonByPortrayerForRole, Denzel Washington – Academy Award for Best Actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardWonByPortrayerForRole Context triple: [Alonzo Harris, awardWonByPortrayerForRole, Denzel Washington – Academy Award for Best Actor]
-
A.
awardRecognitionForPortrayal
chosen
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
B.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
C.
leadActorAwarded
Indicates that the person in the lead actor role has received an award for their performance.
-
D.
hasEmmyWinningRole
Indicates that an entity has performed a role for which they (or the role) received an Emmy 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.
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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.