Triple
T20384968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Lives of Thomasina |
E497934
|
entity |
| Predicate | alternateMedium |
P78290
|
FINISHED |
| Object | novel adaptation |
—
|
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: novel adaptation | Statement: [The Three Lives of Thomasina, alternateMedium, novel adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateMedium Context triple: [The Three Lives of Thomasina, alternateMedium, novel adaptation]
-
A.
alternateMode
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
-
B.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
C.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
D.
subsequentMedium
chosen
Indicates that one medium or format follows another in a sequence, typically as a later or alternative form of the same content or communication.
-
E.
switching
Indicates changing from one state, option, or entity to another, replacing the original with a different one.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.