Triple
T4782184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vali |
E106391
|
entity |
| Predicate | lastRequest |
P59292
|
FINISHED |
| Object | that Rama protect Angada |
—
|
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: that Rama protect Angada | Statement: [Vali, lastRequest, that Rama protect Angada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastRequest Context triple: [Vali, lastRequest, that Rama protect Angada]
-
A.
lastSession
Indicates that one session is the final or most recent session associated with a given entity or sequence of sessions.
-
B.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
C.
wasLast
Indicates that one entity occurred or appeared after all others in a sequence, making it the final item or event.
-
D.
lastRecordedEvent
Indicates the most recent event that has been recorded for a given entity or context.
-
E.
lastSessionDate
Indicates the date on which the most recent session involving the entity took place.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:22 p.m.