Triple
T14799701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rasoul Azadani |
E347873
|
entity |
| Predicate | roleInTangled |
P115760
|
FINISHED |
| Object | layout artist |
—
|
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: layout artist | Statement: [Rasoul Azadani, roleInTangled, layout artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTangled Context triple: [Rasoul Azadani, roleInTangled, layout artist]
-
A.
roleInMulan
Indicates that one entity has a specific role or part in the context of "Mulan" (such as the film, story, or production).
-
B.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
-
C.
roleInShrek2
Indicates that an entity has a specific acting or character role in the movie "Shrek 2".
-
D.
roleInShrekTheThird
Indicates that an entity has a specific role or part in the movie "Shrek the Third."
-
E.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:31 a.m.