Triple
T14706721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Armageddon Rag |
E345446
|
entity |
| Predicate | mainCharacterFormerRole |
P35945
|
FINISHED |
| Object | radical underground newspaper editor |
—
|
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: radical underground newspaper editor | Statement: [The Armageddon Rag, mainCharacterFormerRole, radical underground newspaper editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterFormerRole Context triple: [The Armageddon Rag, mainCharacterFormerRole, radical underground newspaper editor]
-
A.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
B.
characterFormerOccupation
chosen
Indicates that a character previously held a specific occupation but no longer does.
-
C.
formerRoleInOverwatch
Indicates that an entity previously held a specific role or position within the Overwatch organization but no longer does.
-
D.
hasPlayedRole
Indicates that an entity has performed or portrayed a particular role or character in some context (such as a film, play, or production).
-
E.
mayHavePriorRole
Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
- F. None of above.
Provenance (3 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6086c608190a66c64e23a3e002f |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.