Triple
T27098892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harshavardhana |
E686384
|
entity |
| Predicate | sourceDescribedBy |
P163471
|
FINISHED |
| Object |
Bana
Bana was a 7th-century Sanskrit scholar and court poet of King Harshavardhana, best known for his ornate prose works such as the Harshacharita and Kadambari.
|
E1757873
|
NE FINISHED |
How this triple was built (3 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: Bana | Statement: [Harshavardhana, sourceDescribedBy, Bana]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bana Triple: [Harshavardhana, sourceDescribedBy, Bana]
Generated description
Bana was a 7th-century Sanskrit scholar and court poet of King Harshavardhana, best known for his ornate prose works such as the Harshacharita and Kadambari.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceDescribedBy Context triple: [Harshavardhana, sourceDescribedBy, Bana]
-
A.
sourceDescribedBy
chosen
Indicates that a source is documented, characterized, or otherwise explained by a particular description or descriptive resource.
-
B.
sourceStatus
Indicates the current state or condition of a given source within a process, system, or workflow.
-
C.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
D.
describedByURL
Indicates that an entity is documented, explained, or otherwise described at the given URL.
-
E.
describedFrom
Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
- F. None of above.
Provenance (6 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1248070d288190b20c60a10a338ec1 |
completed | May 24, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_6a1249e0bae48190b1ccf396b459793f |
completed | May 24, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a124ab7e38c8190a1b7157d53c3d858 |
completed | May 24, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:46 a.m.