Triple
T38311912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romulan–Klingon conflicts |
E1033710
|
entity |
| Predicate | impactOnSetting |
P102027
|
FINISHED |
| Object | shapes interstellar politics in Star Trek |
—
|
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: shapes interstellar politics in Star Trek | Statement: [Romulan–Klingon conflicts, impactOnSetting, shapes interstellar politics in Star Trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnSetting Context triple: [Romulan–Klingon conflicts, impactOnSetting, shapes interstellar politics in Star Trek]
-
A.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
B.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
C.
configurationImpact
Indicates how a particular configuration or setup influences, alters, or determines the behavior, performance, or outcome of a system or process.
-
D.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
-
E.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:30 p.m.