Triple
T4895728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain |
E109672
|
entity |
| Predicate | connectedToCharacter |
P37306
|
FINISHED |
| Object | Bride |
—
|
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: Bride | Statement: [Rain, connectedToCharacter, Bride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToCharacter Context triple: [Rain, connectedToCharacter, Bride]
-
A.
connectionTo
chosen
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
followsCharacterTo
Indicates that one character moves after or in pursuit of another character to a particular location or destination.
-
C.
connectedToEvent
Indicates that an entity has a direct association or linkage with a specific event.
-
D.
currentCharacter
Indicates that an entity is the character presently in focus or being actively considered in a given context or sequence.
-
E.
followsCharacterFrom
Indicates that one character moves or proceeds behind another character, maintaining a trailing or pursuing position relative to them.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.