Triple
T9386038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Terror |
E225906
|
entity |
| Predicate | belongsToMedium |
P88641
|
FINISHED |
| Object | comics |
—
|
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: comics | Statement: [Holy Terror, belongsToMedium, comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMedium Context triple: [Holy Terror, belongsToMedium, comics]
-
A.
belongsToInteraction
Indicates that one entity is part of, or associated as a component within, a specific interaction event or process.
-
B.
belongsToMkhare
Indicates that one entity is administratively contained within or assigned to a specific mkhare (region or district).
-
C.
belongsToSegment
Indicates that an entity is a member of, or associated with, a specific segment or subgroup within a larger set.
-
D.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
-
E.
belongTo
Indicates that one entity is a member, part, or property of another entity, signifying ownership, inclusion, or association.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d3964c8190b0353f56df755db8 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:44 p.m.