Triple
T29315855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avatar cycle |
E743372
|
entity |
| Predicate | partlySeveredDuring |
P167419
|
FINISHED |
| Object | Harmonic Convergence of 171 AG |
—
|
NE NERFINISHED |
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: Harmonic Convergence of 171 AG | Statement: [Avatar cycle, partlySeveredDuring, Harmonic Convergence of 171 AG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlySeveredDuring Context triple: [Avatar cycle, partlySeveredDuring, Harmonic Convergence of 171 AG]
-
A.
partiallyDestroyed
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
rupturedSegmentOf
Indicates that one entity is a segment that has undergone rupture and is part of, or derived from, another entity.
-
C.
partlyDismantledBy
Indicates that an entity has been only partially taken apart, removed, or deconstructed by another agent or process.
-
D.
dismembered
Indicates that one entity has cut or torn another entity’s body into separate parts, typically removing limbs or sections.
-
E.
restoredInPart
Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 1:19 p.m.