Triple
T22433426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukti Bhawan |
E554552
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Daya
Daya is a central character in the Indian film "Mukti Bhawan," portrayed as an elderly man who checks into a Varanasi guesthouse to await his death and reconcile with his family.
|
E1536451
|
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: Daya | Statement: [Mukti Bhawan, hasCharacter, Daya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daya Context triple: [Mukti Bhawan, hasCharacter, Daya]
-
A.
Daya
Daya is an American singer and songwriter best known for her breakout hit "Hide Away" and for featuring on The Chainsmokers' Grammy-winning single "Don't Let Me Down."
-
B.
Jaku Daya
Jaku Daya is the native name used by its speakers for the Iban language of Borneo.
-
C.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
D.
Dara
Dara was a strategically important fortified city in northern Mesopotamia that served as a key Byzantine stronghold against the Sasanian Empire.
-
E.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
- 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: Daya Triple: [Mukti Bhawan, hasCharacter, Daya]
Generated description
Daya is a central character in the Indian film "Mukti Bhawan," portrayed as an elderly man who checks into a Varanasi guesthouse to await his death and reconcile with his family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daya Target entity description: Daya is a central character in the Indian film "Mukti Bhawan," portrayed as an elderly man who checks into a Varanasi guesthouse to await his death and reconcile with his family.
-
A.
Daya
Daya is an American singer and songwriter best known for her breakout hit "Hide Away" and for featuring on The Chainsmokers' Grammy-winning single "Don't Let Me Down."
-
B.
Jaku Daya
Jaku Daya is the native name used by its speakers for the Iban language of Borneo.
-
C.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
D.
Dara
Dara was a strategically important fortified city in northern Mesopotamia that served as a key Byzantine stronghold against the Sasanian Empire.
-
E.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adce9688190992ad0ca15883931 |
completed | April 29, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f90f5881908f0011690cb0f1e4 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af268db2881908706641ad1e41f79 |
completed | May 18, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:47 p.m.