Triple
T35470682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma'alefa'ak |
E1025197
|
entity |
| Predicate | roleInAdaptations |
P203252
|
FINISHED |
| Object | key antagonist |
—
|
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: key antagonist | Statement: [Ma'alefa'ak, roleInAdaptations, key antagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAdaptations Context triple: [Ma'alefa'ak, roleInAdaptations, key antagonist]
-
A.
roleInShrekTheThird
Indicates that an entity has a specific role or part in the movie "Shrek the Third."
-
B.
roleInScoobyDoo
Indicates the specific function or character part an entity plays within the Scooby-Doo franchise or storyline.
-
C.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
D.
roleInRocketRaccoon
Indicates that an entity has a specific role or involvement in the context of Rocket Raccoon (such as in a story, production, or related work).
-
E.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0141fceb908190863778741bd4487d |
completed | May 11, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_6a0141a9628c819090c0b24ce052a2fb |
completed | May 11, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_6a0141fc48b481909f0ae4a73b0e1592 |
completed | May 11, 2026, 2:42 a.m. |
Created at: May 3, 2026, 4:04 p.m.