Triple
T37662144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken Jockey |
E937739
|
entity |
| Predicate | canBurnInSunlight |
P100762
|
FINISHED |
| Object | baby zombie does not burn if mounted |
—
|
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 does not burn if mounted | Statement: [Chicken Jockey, canBurnInSunlight, baby zombie does not burn if mounted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBurnInSunlight Context triple: [Chicken Jockey, canBurnInSunlight, baby zombie does not burn if mounted]
-
A.
burnsInDaylight
Indicates that the subject is harmed, damaged, or destroyed when exposed to daylight.
-
B.
avoidsBurningWhen
chosen
Indicates that one entity does not burn under certain specified conditions or circumstances.
-
C.
hasSolarRadiation
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
D.
burnsWhen
Indicates that one entity causes another entity to ignite or combust when they come into contact or under specified conditions.
-
E.
isBurning
Indicates that an entity is currently on fire or undergoing combustion.
- 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_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.