Triple
T37662150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken Jockey |
E937739
|
entity |
| Predicate | canSpawnWithPumpkinOrJackOLantern |
P100764
|
FINISHED |
| Object | on Halloween-related dates |
—
|
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: on Halloween-related dates | Statement: [Chicken Jockey, canSpawnWithPumpkinOrJackOLantern, on Halloween-related dates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSpawnWithPumpkinOrJackOLantern Context triple: [Chicken Jockey, canSpawnWithPumpkinOrJackOLantern, on Halloween-related dates]
-
A.
canSpawnWith
chosen
Indicates that one entity is able to appear, be created, or originate in conjunction with another entity under the same conditions or context.
-
B.
canSpawnCondition
Indicates that the ability to spawn or be generated is dependent on a specific condition being met.
-
C.
canSpawnWithEquipment
Indicates that an entity is able to appear or be created already equipped with items or gear.
-
D.
doesNotSpawnInPeaceful
Indicates that the entity never appears or is generated when the game difficulty is set to Peaceful.
-
E.
cannotSpawnOn
Indicates that an entity is not allowed or able to be generated, created, or appear on a specified surface or location.
- 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_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:18 p.m.