Triple
T36207929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Winston Churchill by Bernard Hailstone (1940s) |
E1047451
|
entity |
| Predicate | depictedPersonAward |
P194440
|
FINISHED |
| Object | Nobel Prize in Literature |
—
|
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: Nobel Prize in Literature | Statement: [Portrait of Winston Churchill by Bernard Hailstone (1940s), depictedPersonAward, Nobel Prize in Literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedPersonAward Context triple: [Portrait of Winston Churchill by Bernard Hailstone (1940s), depictedPersonAward, Nobel Prize in Literature]
-
A.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
B.
awardRecognitionForPortrayal
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
C.
depictedPersonAlternativeName
Indicates that an alternative or variant name is used to refer to the person depicted.
-
D.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
-
E.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: May 3, 2026, 4:09 p.m.