Triple
T18451062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandhari |
E450781
|
entity |
| Predicate | reactionToWar |
P131687
|
FINISHED |
| Object | deep sorrow over death of her sons |
—
|
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: deep sorrow over death of her sons | Statement: [Gandhari, reactionToWar, deep sorrow over death of her sons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToWar Context triple: [Gandhari, reactionToWar, deep sorrow over death of her sons]
-
A.
opposedWar
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
-
B.
concernsWarBetween
Indicates a relationship where something (such as a statement, document, or event) is about or pertains to a war occurring between two or more parties.
-
C.
warStatus
Indicates the state or condition of conflict or war that exists between entities at a given time.
-
D.
stanceOnMilitarism
Indicates an entity’s position, attitude, or viewpoint regarding the use, expansion, or role of military force and institutions.
-
E.
statusBeforeWar
Indicates the condition or situation of an entity as it existed prior to the onset of a specified war.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52648476c8190a5d8c3297d836f62 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.