Triple
T9431282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Galatea |
E227379
|
entity |
| Predicate | sequelStatus |
P88868
|
FINISHED |
| Object | uncompleted |
—
|
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: uncompleted | Statement: [La Galatea, sequelStatus, uncompleted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelStatus Context triple: [La Galatea, sequelStatus, uncompleted]
-
A.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
B.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
-
C.
sequelPlatform
Indicates that one platform is a follow-up or successor to another platform in a series or progression.
-
D.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
-
E.
hasSequelRumors
Indicates that there are rumors or unconfirmed reports suggesting a sequel exists or may be produced for the referenced work.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:49 p.m.