Triple
T20983372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindred |
E516824
|
entity |
| Predicate | effectOnActivation |
P75607
|
FINISHED |
| Object | Reveals the auras of all other survivors to the hooked survivor |
—
|
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: Reveals the auras of all other survivors to the hooked survivor | Statement: [Kindred, effectOnActivation, Reveals the auras of all other survivors to the hooked survivor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnActivation Context triple: [Kindred, effectOnActivation, Reveals the auras of all other survivors to the hooked survivor]
-
A.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
B.
effectOnUser
chosen
Indicates how an action, event, or condition influences or impacts a user.
-
C.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
D.
providesEffect
Indicates that one entity causes, delivers, or produces a particular effect or outcome on another entity.
-
E.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe03244819097630333e70c4e88 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:48 p.m.