Triple
T24772525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tales of Para Handy |
E619764
|
entity |
| Predicate | hasFictionalShip |
P69373
|
FINISHED |
| Object | Vital Spark |
—
|
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: Vital Spark | Statement: [The Tales of Para Handy, hasFictionalShip, Vital Spark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalShip Context triple: [The Tales of Para Handy, hasFictionalShip, Vital Spark]
-
A.
fictionalShip
chosen
Indicates that one entity is a ship that exists only in fiction or narrative works, rather than in reality.
-
B.
hasStarshipClassDepicted
Indicates that an entity includes or shows a depiction of a particular starship class.
-
C.
hasStarship
Indicates that one entity possesses, controls, or is associated with a particular starship.
-
D.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
E.
hasMuseumShip
Indicates that one entity possesses or is associated with a museum ship, typically a preserved vessel displayed for public exhibition.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 4:32 a.m.