Triple
T21691866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space-Bat-Angel-Dragon |
E535389
|
entity |
| Predicate | alignmentLater |
P90194
|
FINISHED |
| Object | benevolent |
—
|
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: benevolent | Statement: [Space-Bat-Angel-Dragon, alignmentLater, benevolent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentLater Context triple: [Space-Bat-Angel-Dragon, alignmentLater, benevolent]
-
A.
laterAlignedWith
chosen
Indicates that one entity becomes aligned with or matches another entity at a later point in time, rather than initially.
-
B.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
C.
alignmentLeader
Indicates that one entity serves as the primary leader or guiding figure responsible for directing or coordinating the alignment of others.
-
D.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
E.
alignmentInSeries
Indicates that one entity’s position or orientation is arranged in a specific way relative to others within an ordered sequence or series.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96d0d4048190abfc3e3e06c51b8d |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.