Triple
T37552976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light’s Vengeance |
E933629
|
entity |
| Predicate | alignmentBeforeEvent |
P189060
|
FINISHED |
| Object | used in service of the Light |
—
|
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: used in service of the Light | Statement: [Light’s Vengeance, alignmentBeforeEvent, used in service of the Light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentBeforeEvent Context triple: [Light’s Vengeance, alignmentBeforeEvent, used in service of the Light]
-
A.
alignmentLeader
Indicates that one entity serves as the primary leader or guiding figure responsible for directing or coordinating the alignment of others.
-
B.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
C.
plannedBeforeEvent
Indicates that one event or action was planned or scheduled to occur prior to a specified reference event.
-
D.
laterAlignedWith
Indicates that one entity becomes aligned with or matches another entity at a later point in time, rather than initially.
-
E.
alignmentAtIntroduction
Indicates that two entities share a particular alignment or stance at the moment one is first introduced.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.