Triple
T1529345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Krishnadevaraya |
E32404
|
entity |
| Predicate | courtPoetsIncluded |
P10575
|
FINISHED |
| Object |
Madayya
Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
|
E173507
|
NE FINISHED |
How this triple was built (4 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: Madayya | Statement: [Sri Krishnadevaraya, courtPoetsIncluded, Madayya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madayya Context triple: [Sri Krishnadevaraya, courtPoetsIncluded, Madayya]
-
A.
Marwa
Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
-
B.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
-
C.
Jabala
Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
-
D.
Kufa
Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
-
E.
Derna
Derna is a coastal city in eastern Libya known for its strategic location, turbulent political history, and role as a focal point in the country's conflicts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Madayya Triple: [Sri Krishnadevaraya, courtPoetsIncluded, Madayya]
Generated description
Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madayya Target entity description: Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
-
A.
Marwa
Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
-
B.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
-
C.
Jabala
Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
-
D.
Kufa
Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
-
E.
Derna
Derna is a coastal city in eastern Libya known for its strategic location, turbulent political history, and role as a focal point in the country's conflicts.
- F. None of above. chosen
Provenance (5 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61dc6ab881908b22aa7a5295bf21 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2955dc788190988ebf911714437b |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a18a79c81908f04ba9aa55d52a0 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a8deae8819095731fdd1b4bd310 |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.