Triple
T6875799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20th Academy Awards |
E158667
|
entity |
| Predicate | jeanHersholtHumanitarianAwardRecipient |
P73877
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [20th Academy Awards, jeanHersholtHumanitarianAwardRecipient, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jeanHersholtHumanitarianAwardRecipient Context triple: [20th Academy Awards, jeanHersholtHumanitarianAwardRecipient, none]
-
A.
bestForeignFilmHonoraryAwardRecipient
Indicates that an entity received an honorary award recognizing it as the best foreign film.
-
B.
honoreeKnownFor
Indicates that an honoree is recognized or celebrated specifically for a particular work, achievement, contribution, or notable attribute.
-
C.
UNHumanRightsPrizeYear
Indicates the year in which a given entity received the United Nations Prize in the Field of Human Rights.
-
D.
isPosthumousAwardRecipientOf
Indicates that an entity received an award that was granted after their death.
-
E.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.