Triple
T35008023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azarath |
E1009863
|
entity |
| Predicate | roleInRavenLife |
P203081
|
FINISHED |
| Object | birthplace of Raven |
—
|
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: birthplace of Raven | Statement: [Azarath, roleInRavenLife, birthplace of Raven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRavenLife Context triple: [Azarath, roleInRavenLife, birthplace of Raven]
-
A.
roleInRolandLife
Indicates that one entity holds a particular role or significance in the life or personal experience of Roland.
-
B.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
-
C.
roleInBirdsOfPrey
Indicates that an entity has a specific role or character in the work "Birds of Prey."
-
D.
roleInReunionArenaProject
Indicates that an entity holds a specific role or responsibility within the Reunion Arena project.
-
E.
roleInBatmanAndRobin
Indicates that an entity has a specific role or involvement in the context of "Batman and Robin" (such as the story, franchise, or related work).
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_6a011d764d108190b4a6f35595ddd9d4 |
completed | May 11, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:01 p.m.