Triple
T38588685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathknell |
E932402
|
entity |
| Predicate | timeOfDayEffect |
P107672
|
FINISHED |
| Object | appears darker than many other starting zones |
—
|
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: appears darker than many other starting zones | Statement: [Deathknell, timeOfDayEffect, appears darker than many other starting zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayEffect Context triple: [Deathknell, timeOfDayEffect, appears darker than many other starting zones]
-
A.
daylightEffect
chosen
Indicates the influence or change that daylight has on a given entity, condition, or process.
-
B.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
C.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
D.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
E.
dayNightVariant
Indicates a relationship where one entity is a day-time version and the other is a night-time version of the same underlying thing.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:32 p.m.