Triple
T38041753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. P. Blandy |
E949499
|
entity |
| Predicate | testSiteOversight |
P61772
|
FINISHED |
| Object | Operation Crossroads |
—
|
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: Operation Crossroads | Statement: [William H. P. Blandy, testSiteOversight, Operation Crossroads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSiteOversight Context triple: [William H. P. Blandy, testSiteOversight, Operation Crossroads]
-
A.
oversightTools
Indicates that certain tools or mechanisms are used to monitor, review, or supervise the actions or performance of an entity.
-
B.
oversightOfficial
chosen
Indicates that one entity has formal responsibility for supervising, monitoring, or reviewing the actions or performance of another entity.
-
C.
oversightStatus
Indicates the current level or state of monitoring, supervision, or review applied to an entity or activity.
-
D.
oversightProgram
Indicates a formal process or system through which activities, entities, or operations are monitored, reviewed, and regulated to ensure compliance, accountability, or quality.
-
E.
hasSiteStatus
Indicates the current operational or condition status assigned to a particular site.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.