Triple
T15330272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stinky Pete the Prospector |
E366513
|
entity |
| Predicate | positionInWoodyRoundup |
P118142
|
FINISHED |
| Object | supporting character |
—
|
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: supporting character | Statement: [Stinky Pete the Prospector, positionInWoodyRoundup, supporting character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInWoodyRoundup Context triple: [Stinky Pete the Prospector, positionInWoodyRoundup, supporting character]
-
A.
positionInRound
Indicates the specific ordinal place an entity occupies within a given round or sequence of rounds.
-
B.
positionInAct
Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
-
C.
positionOnTreeOfLife
Indicates the relative placement of an entity within the evolutionary hierarchy or branching structure of the tree of life.
-
D.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
E.
positionInWorlds
Indicates that an entity occupies specific spatial coordinates or locations within one or more distinct worlds or environments.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:17 a.m.