Triple
T15069416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Daisy |
E379835
|
entity |
| Predicate | roleInSuperMarioLand |
P117196
|
FINISHED |
| Object | damsel in distress |
—
|
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: damsel in distress | Statement: [Princess Daisy, roleInSuperMarioLand, damsel in distress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSuperMarioLand Context triple: [Princess Daisy, roleInSuperMarioLand, damsel in distress]
-
A.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
-
B.
roleInDonkeyKong64
Indicates the role or function an entity has within the context of the game Donkey Kong 64.
-
C.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
D.
roleInKingdomHearts
Indicates the specific narrative or functional role an entity plays within the Kingdom Hearts series.
-
E.
roleInMinecraft
Indicates the specific function, job, or position an entity has within the context of Minecraft.
- F. None of above. chosen
Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:02 a.m.