Triple
T32552147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Grover |
E832002
|
entity |
| Predicate | helpsDepict |
P175005
|
FINISHED |
| Object | personal side of law enforcement characters in Hawaii Five-0 |
—
|
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: personal side of law enforcement characters in Hawaii Five-0 | Statement: [Will Grover, helpsDepict, personal side of law enforcement characters in Hawaii Five-0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsDepict Context triple: [Will Grover, helpsDepict, personal side of law enforcement characters in Hawaii Five-0]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsTool
Indicates that one entity visually represents or shows a tool in some form of depiction (e.g., an image, illustration, or artwork).
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
helpedChart
Indicates that one entity assisted in creating, developing, or planning the course or direction of another entity or initiative.
-
E.
depictsPractice
Indicates that one entity visually represents or portrays the practice, activity, or procedure associated with 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:02 a.m.