Triple
T20518255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayashi Maru training scenario |
E503735
|
entity |
| Predicate | metaInfluence |
P140405
|
FINISHED |
| Object | term used in real life for unwinnable situations |
—
|
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: term used in real life for unwinnable situations | Statement: [Kobayashi Maru training scenario, metaInfluence, term used in real life for unwinnable situations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metaInfluence Context triple: [Kobayashi Maru training scenario, metaInfluence, term used in real life for unwinnable situations]
-
A.
mediaInfluence
Indicates that one entity affects, shapes, or alters another entity’s attitudes, behaviors, or perceptions through media content or channels.
-
B.
mediaSignificance
Indicates the degree of importance, impact, or prominence that something holds within media coverage or representation.
-
C.
impactOnMeta
Indicates the effect or influence that one entity, action, or condition has on Meta as an outcome or consequence.
-
D.
influencedMedium
Indicates that one entity has affected, shaped, or altered the form, style, or characteristics of a medium through its influence.
-
E.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:36 a.m.