Triple
T26944070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Five |
E678590
|
entity |
| Predicate | opponentAsset |
P162833
|
FINISHED |
| Object | Death Star |
—
|
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: Death Star | Statement: [Red Five, opponentAsset, Death Star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opponentAsset Context triple: [Red Five, opponentAsset, Death Star]
-
A.
opponentCapital
Indicates that one entity is the capital city belonging to, or associated with, an opposing side or rival entity.
-
B.
associatedOpponent
Indicates that one entity is recognized or designated as an opponent or adversary associated with another entity in a given context.
-
C.
opponentInCase
Indicates that two parties are on opposing sides in the same legal case or proceeding.
-
D.
opponentInScenario
Indicates that one entity is an adversary or rival of another within a specific scenario, context, or situation.
-
E.
opponentState
Indicates the condition or status that an opposing party or competitor is currently in within a given context or interaction.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62e4168a48190b45268f922780da6 |
completed | May 2, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d5268ac8190835dc7119353b840 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 27, 2026, 6:20 a.m.