Triple
T4664598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandu |
E102813
|
entity |
| Predicate | bestKnownLegend |
P58720
|
FINISHED |
| Object | love story of Baz Bahadur and Roopmati |
—
|
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: love story of Baz Bahadur and Roopmati | Statement: [Mandu, bestKnownLegend, love story of Baz Bahadur and Roopmati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownLegend Context triple: [Mandu, bestKnownLegend, love story of Baz Bahadur and Roopmati]
-
A.
bestKnownAsSiteOf
Indicates that a place is most widely recognized or famous for being the location where a particular event, activity, or feature occurs or is found.
-
B.
reconocidaPor
Indicates that an entity is recognized, acknowledged, or honored by another entity.
-
C.
mostFamousBearer
Indicates that one entity is the most widely recognized or renowned individual associated with a particular name, title, or attribute compared to all other bearers of it.
-
D.
oldestKnownFeature
Indicates that the related feature is the earliest or most ancient one known within a given context or set.
-
E.
championedBy
Indicates that an entity is actively supported, promoted, or advocated for by another entity.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd655719dc8190beb6942f343a0ae7 |
completed | March 20, 2026, 3:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.