Triple
T5127756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Tall Women |
E115623
|
entity |
| Predicate | pulitzerCategory |
P1619
|
FINISHED |
| Object | Drama |
—
|
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: Drama | Statement: [Three Tall Women, pulitzerCategory, Drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pulitzerCategory Context triple: [Three Tall Women, pulitzerCategory, Drama]
-
A.
NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
-
B.
dateAwarded Pulitzer Prize for Fiction
Indicates that a specific date is when an entity received the Pulitzer Prize for Fiction.
-
C.
generalClassificationWinner
Indicates that the subject is the overall winner in the general classification or overall standings of a competition or event.
-
D.
awardFocus
Indicates that an award or honor is specifically directed toward, centered on, or primarily concerned with a particular entity.
-
E.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.