Triple
T23665731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayan Ta |
E584571
|
entity |
| Predicate | currentStories |
P152909
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Dayan Ta, currentStories, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentStories Context triple: [Dayan Ta, currentStories, 7]
-
A.
notableRecentStoryline
Indicates that there is a particularly significant or newsworthy recent sequence of events or developments involving the subject.
-
B.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
C.
currentIssue
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
-
D.
offersNewscasts
Indicates that one entity provides or broadcasts news programs or newscast content to another or to an audience.
-
E.
storyBy
Indicates that one entity is the creator or author of the story 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40b8bd48190922c7252e71a5421 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:50 p.m.