Triple
T33649226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Sam |
E862044
|
entity |
| Predicate | hasNumberInSomeMedia |
P197031
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Peter Sam, hasNumberInSomeMedia, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInSomeMedia Context triple: [Peter Sam, hasNumberInSomeMedia, 4]
-
A.
hasNumberInSomeSources
Indicates that certain sources report or associate a particular number with the given entity or relation.
-
B.
hasRepresentationInMedia
Indicates that something is depicted, portrayed, or otherwise represented within a particular medium or media work.
-
C.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
D.
hasStatusInMedia
Indicates that an entity is portrayed with a particular status or condition within a specific media work or context.
-
E.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69fe744e9ee081909b362fc8609bc744 |
completed | May 8, 2026, 11:39 p.m. |
Created at: May 1, 2026, 1:42 a.m.