Triple
T4507301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Proctor |
E101362
|
entity |
| Predicate | hasWorkAdaptation |
P57068
|
FINISHED |
| Object | character John Proctor in "The Crucible" |
—
|
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: character John Proctor in "The Crucible" | Statement: [John Proctor, hasWorkAdaptation, character John Proctor in "The Crucible"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkAdaptation Context triple: [John Proctor, hasWorkAdaptation, character John Proctor in "The Crucible"]
-
A.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
B.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
C.
hasSignatureWorkAdaptation
Indicates that an entity has a notable or defining work that has been adapted into another medium or form.
-
D.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
E.
adaptationStatus
Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:01 p.m.