Triple
T38591154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Agent |
E932455
|
entity |
| Predicate | usesCompanionsFrom |
P197543
|
FINISHED |
| Object | Sith Empire |
—
|
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: Sith Empire | Statement: [Imperial Agent, usesCompanionsFrom, Sith Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCompanionsFrom Context triple: [Imperial Agent, usesCompanionsFrom, Sith Empire]
-
A.
includesCompanion
Indicates that one entity involves, contains, or is accompanied by another entity acting as a companion.
-
B.
hasCompanionSpecies
Indicates that one entity is accompanied by, or exists in association with, another entity of a different species.
-
C.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
D.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
E.
viewOnCompanions
Indicates a relationship where one entity holds a particular opinion, perspective, or attitude about its companions or associated 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 3, 2026, 4:32 p.m.