Triple
T38069201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenn-La |
E950549
|
entity |
| Predicate | reasonSpared |
P196890
|
FINISHED |
| Object | Norrin Radd becoming the Silver Surfer |
—
|
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: Norrin Radd becoming the Silver Surfer | Statement: [Zenn-La, reasonSpared, Norrin Radd becoming the Silver Surfer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonSpared Context triple: [Zenn-La, reasonSpared, Norrin Radd becoming the Silver Surfer]
-
A.
laterSparedBy
Indicates that an entity was initially at risk but was subsequently spared or saved by another entity at a later time.
-
B.
pardonReason
Indicates the reason or justification for which a pardon is granted.
-
C.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
D.
reasonForRelief
Indicates the cause, justification, or circumstance that explains why relief or alleviation from a condition or obligation occurs.
-
E.
reasonForRelease
Indicates the cause, justification, or circumstance that led to an entity being released.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.