Triple
T15262351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Field |
E364810
|
entity |
| Predicate | recognizedPosthumouslyFor |
P88701
|
FINISHED |
| Object | importance in queer literary history |
—
|
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: importance in queer literary history | Statement: [Michael Field, recognizedPosthumouslyFor, importance in queer literary history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedPosthumouslyFor Context triple: [Michael Field, recognizedPosthumouslyFor, importance in queer literary history]
-
A.
notedPosthumouslyBy
chosen
Indicates that information about an entity was recorded, mentioned, or recognized by someone only after that entity’s death.
-
B.
isPosthumousAwardRecipientOf
Indicates that an entity received an award that was granted after their death.
-
C.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
-
D.
isPosthumousTributeTo
Indicates that something (such as a work, event, or honor) is created or given as a tribute to a person after that person has died.
-
E.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.