Triple
T31111956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Room |
E792970
|
entity |
| Predicate | hasAcclaimedEditingBy |
P180058
|
FINISHED |
| Object | Margaret Sixel |
—
|
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: Margaret Sixel | Statement: [The Blue Room, hasAcclaimedEditingBy, Margaret Sixel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcclaimedEditingBy Context triple: [The Blue Room, hasAcclaimedEditingBy, Margaret Sixel]
-
A.
acclaimedFor
Indicates that an entity receives widespread praise or recognition specifically for another entity, such as a work, achievement, or contribution.
-
B.
hasReceivedCriticalAcclaim
Indicates that the subject has been widely praised or positively recognized by critics or expert reviewers.
-
C.
hasGivenAcclaimedPerformance
Indicates that an entity has delivered a performance that has received significant praise or critical acclaim.
-
D.
awardEditionOf
Indicates that one entity is a specific edition or iteration of an award associated with another entity.
-
E.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 29, 2026, 9:04 p.m.