Triple
T18520149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Walsh |
E452561
|
entity |
| Predicate | helpedCapture |
P4712
|
FINISHED |
| Object | numerous fugitives featured on America’s Most Wanted |
—
|
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: numerous fugitives featured on America’s Most Wanted | Statement: [John Walsh, helpedCapture, numerous fugitives featured on America’s Most Wanted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedCapture Context triple: [John Walsh, helpedCapture, numerous fugitives featured on America’s Most Wanted]
-
A.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
-
B.
capturedUsing
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
C.
capturedBy
chosen
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
D.
notableCapture
Indicates that one entity captured or seized another in a way considered historically or contextually significant.
-
E.
capturedDuring
Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338db5e4819086503a2176dfe499 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.