Triple
T28377874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Wolfe |
E718800
|
entity |
| Predicate | receivedPulitzerFor |
P11
|
FINISHED |
| Object | Anthracite Fields |
—
|
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: Anthracite Fields | Statement: [Julia Wolfe, receivedPulitzerFor, Anthracite Fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedPulitzerFor Context triple: [Julia Wolfe, receivedPulitzerFor, Anthracite Fields]
-
A.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
B.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
C.
receivedPritzkerPrizeWith
Indicates that multiple entities jointly received the Pritzker Prize in the same year or as part of the same award instance.
-
D.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
E.
receivedAwardIn
Indicates that an entity was given or obtained a specific award in a particular place or context.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 1:04 a.m.