Triple
T37662145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken Jockey |
E937739
|
entity |
| Predicate | daylightProtectionReason |
P24667
|
FINISHED |
| Object | baby zombie is shielded by being mounted on chicken |
—
|
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: baby zombie is shielded by being mounted on chicken | Statement: [Chicken Jockey, daylightProtectionReason, baby zombie is shielded by being mounted on chicken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: daylightProtectionReason Context triple: [Chicken Jockey, daylightProtectionReason, baby zombie is shielded by being mounted on chicken]
-
A.
protectionReason
chosen
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
-
B.
daylightEffect
Indicates the influence or change that daylight has on a given entity, condition, or process.
-
C.
DSTChangeReason
Indicates the reason or cause for a change in daylight saving time status or rules.
-
D.
reasonForBrightness
Indicates the cause or explanation for why something is bright or has a certain level of brightness.
-
E.
daylightSavingRule
Indicates the rule or policy that defines when and how daylight saving time is applied or adjusted for a given context.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.