Triple
T3225518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mason |
E67610
|
entity |
| Predicate | monumentControversy |
P1783
|
FINISHED |
| Object | statue criticized for celebrating Pequot War actions |
—
|
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: statue criticized for celebrating Pequot War actions | Statement: [John Mason, monumentControversy, statue criticized for celebrating Pequot War actions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentControversy Context triple: [John Mason, monumentControversy, statue criticized for celebrating Pequot War actions]
-
A.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
-
B.
monumentSubject
Indicates that the subject serves as the monument or commemorative structure associated with another entity.
-
C.
controversy
chosen
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
D.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
E.
heritageDebate
Indicates a discussion or dispute concerning the preservation, interpretation, or value of cultural or historical heritage.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.