Triple
T1029083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Da Silva |
E22207
|
entity |
| Predicate | wasBlacklisted |
P24172
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Howard Da Silva, wasBlacklisted, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBlacklisted Context triple: [Howard Da Silva, wasBlacklisted, true]
-
A.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
B.
isWithheldBy
Indicates that something (such as information, resources, or permission) is deliberately not given, released, or made available by a particular entity.
-
C.
excludedFromAmnesty
Indicates that an entity is not eligible for, or is specifically denied, the benefits or protections granted by an amnesty.
-
D.
wasOnceOutlawed
Indicates that an entity was previously considered illegal or banned by an authority but is no longer outlawed.
-
E.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b95bb5908190ad1d5f5e0d8f664d |
completed | March 1, 2026, 10:10 p.m. |
Created at: March 1, 2026, 7:41 p.m.