Triple
T582707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael O’Dwyer |
E15091
|
entity |
| Predicate | endorsed |
P547
|
FINISHED |
| Object | General Reginald Dyer’s actions at Jallianwala Bagh |
—
|
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: General Reginald Dyer’s actions at Jallianwala Bagh | Statement: [Michael O’Dwyer, endorsed, General Reginald Dyer’s actions at Jallianwala Bagh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endorsed Context triple: [Michael O’Dwyer, endorsed, General Reginald Dyer’s actions at Jallianwala Bagh]
-
A.
approves
chosen
Indicates that one entity formally accepts, authorizes, or agrees to a proposal, action, or decision made by another entity.
-
B.
approvedBy
Indicates that an action, request, or item has received formal authorization or consent from a specified entity.
-
C.
concluded
Indicates that an entity has brought an event, process, discussion, or agreement to an end, often after reaching a decision or final judgment.
-
D.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
-
E.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b85becc8190b4d98c00e5fa7c04 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.