Triple
T28385026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Patsy Reddy |
E718996
|
entity |
| Predicate | coLedReviewOf |
P164447
|
FINISHED |
| Object | New Zealand intelligence and security agencies |
—
|
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: New Zealand intelligence and security agencies | Statement: [Dame Patsy Reddy, coLedReviewOf, New Zealand intelligence and security agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coLedReviewOf Context triple: [Dame Patsy Reddy, coLedReviewOf, New Zealand intelligence and security agencies]
-
A.
led
Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
-
B.
ledSackOf
Indicates that one entity directed or commanded the military attack or plundering raid against another entity.
-
C.
ledOut
Indicates that one entity guided or escorted another entity out of a place or situation.
-
D.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
E.
ledFrom
Indicates that one entity served as the source or origin from which another entity was led or guided.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64cba41748190a0cf070481fc7fd8 |
completed | May 2, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f64bca8574819095e081cbb7e2f369 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 28, 2026, 1:09 a.m.