Triple
T36529315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anuraag |
E900395
|
entity |
| Predicate | hasEmotionalStory |
P11859
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Anuraag, hasEmotionalStory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmotionalStory Context triple: [Anuraag, hasEmotionalStory, yes]
-
A.
emotionalTrajectory
Indicates how an entity’s emotional state changes or progresses over time in relation to another entity or context.
-
B.
hasInfluentialStory
Indicates that one entity possesses or is associated with a story that significantly shapes, impacts, or guides the beliefs, actions, or development of another entity.
-
C.
hasNarrative
chosen
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
D.
hasEmotionalDimension
Indicates that something involves, expresses, or affects emotions as a significant aspect of its nature or impact.
-
E.
hasTraditionalStory
Indicates that one entity possesses, is associated with, or is the source or subject of a traditional story related to the other entity.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.