Triple
T28240245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takehiro |
E712002
|
entity |
| Predicate | describedThrough |
P175330
|
FINISHED |
| Object | conflicting eyewitness testimonies |
—
|
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: conflicting eyewitness testimonies | Statement: [Takehiro, describedThrough, conflicting eyewitness testimonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedThrough Context triple: [Takehiro, describedThrough, conflicting eyewitness testimonies]
-
A.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
B.
describedFrom
Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
-
C.
describedAt
Indicates that something is explained, characterized, or detailed in a particular source, context, or location.
-
D.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
E.
documentedThrough
Indicates that something is recorded, evidenced, or made known by means of a specific document or documentation process.
- 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 27, 2026, 10:57 p.m.