Triple
T4516636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjaya |
E102167
|
entity |
| Predicate | textualFunction |
P57150
|
FINISHED |
| Object | to provide continuous account of the war |
—
|
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: to provide continuous account of the war | Statement: [Sanjaya, textualFunction, to provide continuous account of the war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualFunction Context triple: [Sanjaya, textualFunction, to provide continuous account of the war]
-
A.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
B.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
-
C.
characterFunction
Indicates the role, purpose, or narrative function that a character serves within a story or context.
-
D.
textType
Indicates the classification of a text according to its type, format, or genre.
-
E.
textFragment
Indicates that one piece of text is a constituent part or segment of a larger text.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5726983c8190bca116eeee54241c |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.