Triple
T20170790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Kumar |
E491951
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Dadamoni
Dadamoni is the affectionate nickname of Ashok Kumar, a legendary Indian film actor and one of the pioneering stars of Hindi cinema.
|
E1415364
|
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: Dadamoni | Statement: [Ashok Kumar, alsoKnownAs, Dadamoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dadamoni Context triple: [Ashok Kumar, alsoKnownAs, Dadamoni]
-
A.
Dookudu
Dookudu is a 2011 Telugu-language action-comedy film widely recognized as one of Mahesh Babu’s biggest commercial hits and a landmark in contemporary mainstream Telugu cinema.
-
B.
Umka
Umka is a suburban settlement of Belgrade, Serbia, situated within the municipality of Čukarica along the right bank of the Sava River.
-
C.
Dandini
Dandini is the valet in Rossini’s opera "La Cenerentola" who swaps roles with his master, the prince, to comic effect.
-
D.
Naandi
Naandi is an alternative name for Nandi, the sacred bull and devoted mount of the Hindu god Shiva.
-
E.
Nunga
Nunga is a term used by some Aboriginal people of southern South Australia to refer to themselves and their community.
- 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: Dadamoni Triple: [Ashok Kumar, alsoKnownAs, Dadamoni]
Generated description
Dadamoni is the affectionate nickname of Ashok Kumar, a legendary Indian film actor and one of the pioneering stars of Hindi cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dadamoni Target entity description: Dadamoni is the affectionate nickname of Ashok Kumar, a legendary Indian film actor and one of the pioneering stars of Hindi cinema.
-
A.
Dookudu
Dookudu is a 2011 Telugu-language action-comedy film widely recognized as one of Mahesh Babu’s biggest commercial hits and a landmark in contemporary mainstream Telugu cinema.
-
B.
Umka
Umka is a suburban settlement of Belgrade, Serbia, situated within the municipality of Čukarica along the right bank of the Sava River.
-
C.
Dandini
Dandini is the valet in Rossini’s opera "La Cenerentola" who swaps roles with his master, the prince, to comic effect.
-
D.
Naandi
Naandi is an alternative name for Nandi, the sacred bull and devoted mount of the Hindu god Shiva.
-
E.
Nunga
Nunga is a term used by some Aboriginal people of southern South Australia to refer to themselves and their community.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083484eaa4819083462003ba5a78b0 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a083851ccf081909de87d5070e969f9 |
completed | May 16, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0838c3694c819097516c8de60864fb |
completed | May 16, 2026, 9:28 a.m. |
Created at: April 11, 2026, 11:35 p.m.