Triple
T16096595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rej Taunt |
E390498
|
entity |
| Predicate | ownershipStatusOfMillenniumFalcon |
P121885
|
FINISHED |
| Object | former owner |
—
|
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: former owner | Statement: [Rej Taunt, ownershipStatusOfMillenniumFalcon, former owner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipStatusOfMillenniumFalcon Context triple: [Rej Taunt, ownershipStatusOfMillenniumFalcon, former owner]
-
A.
hasStarship
Indicates that one entity possesses, controls, or is associated with a particular starship.
-
B.
usesStarshipClass
Indicates that an entity operates, employs, or is associated with a particular class or type of starship.
-
C.
hasStarshipClassDepicted
Indicates that an entity includes or shows a depiction of a particular starship class.
-
D.
usesStarfighter
Indicates that one entity operates or employs a starfighter as its vehicle, tool, or means of transportation or combat.
-
E.
ownershipModel
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.