Triple
T38194640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Speech of Robert Y. Hayne |
E1005574
|
entity |
| Predicate | opposedPositionOf |
P75206
|
FINISHED |
| Object | Second Reply to Hayne |
—
|
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: Second Reply to Hayne | Statement: [Second Speech of Robert Y. Hayne, opposedPositionOf, Second Reply to Hayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedPositionOf Context triple: [Second Speech of Robert Y. Hayne, opposedPositionOf, Second Reply to Hayne]
-
A.
positionOpposed
chosen
Indicates that two entities hold positions or stances that are in direct conflict or opposition to each other.
-
B.
opponentPosition
Indicates the spatial location or placement of an opposing entity relative to a reference entity or context.
-
C.
opposingLocation
Indicates that two entities are located directly opposite each other, typically across a defined reference such as a street, corridor, or boundary.
-
D.
positionedAgainst
Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
-
E.
isOppositionCounterpartOf
Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:29 p.m.