Triple
T30380220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Communications |
E772803
|
entity |
| Predicate | roleInVForVendetta |
P199763
|
FINISHED |
| Object | original periodical publisher of early episodes |
—
|
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: original periodical publisher of early episodes | Statement: [Quality Communications, roleInVForVendetta, original periodical publisher of early episodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVForVendetta Context triple: [Quality Communications, roleInVForVendetta, original periodical publisher of early episodes]
-
A.
factionRole
Indicates the specific role, function, or position an entity holds within a particular faction or group.
-
B.
roleInBeastsOfNoNation
Indicates that an entity has a role or participation in the film "Beasts of No Nation."
-
C.
roleInRiseAgainst
Indicates that an entity held a specific role or position within the group or organization known as Rise Against.
-
D.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
E.
roleAtVicariousVisions
Indicates the specific position or role an entity holds at Vicarious Visions.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
| PDg | Predicate description generation | batch_69ff56edc4d081908f1d263e05cbd512 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 29, 2026, 8 p.m.