Triple
T21938978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ਸ਼ਿਵ ਕੁਮਾਰ ਬਟਾਲਵੀ |
E541764
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object |
Luna
"Luna" is a celebrated Punjabi epic poem by Shiv Kumar Batalvi that reimagines the legend of Puran Bhagat from the perspective of the traditionally vilified character Luna.
|
E1509157
|
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: Luna | Statement: [ਸ਼ਿਵ ਕੁਮਾਰ ਬਟਾਲਵੀ, awardReceivedFor, Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna Context triple: [ਸ਼ਿਵ ਕੁਮਾਰ ਬਟਾਲਵੀ, awardReceivedFor, Luna]
-
A.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
B.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
C.
Luna
Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
-
D.
Luna
Luna is a given name used as part of the full name Kaiya Bella Luna Stormare.
-
E.
Luna
Luna is the intelligent, talking black cat who serves as a mentor and guide to Usagi Tsukino and the other Sailor Guardians in the Sailor Moon series.
- 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: Luna Triple: [ਸ਼ਿਵ ਕੁਮਾਰ ਬਟਾਲਵੀ, awardReceivedFor, Luna]
Generated description
"Luna" is a celebrated Punjabi epic poem by Shiv Kumar Batalvi that reimagines the legend of Puran Bhagat from the perspective of the traditionally vilified character Luna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luna Target entity description: "Luna" is a celebrated Punjabi epic poem by Shiv Kumar Batalvi that reimagines the legend of Puran Bhagat from the perspective of the traditionally vilified character Luna.
-
A.
Luna
chosen
"Luna" is a celebrated Punjabi epic poem by Shiv Kumar Batalvi that reimagines a traditional legend with intense lyrical emotion and modern psychological depth.
-
B.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
C.
Luna
Luna is a feminine given name best known from the Harry Potter series character Luna Lovegood and commonly associated with the Latin word for "moon."
-
D.
Luna
Luna is a given name used as part of the full name Kaiya Bella Luna Stormare.
-
E.
Luna
Luna is the intelligent, talking black cat who serves as a mentor and guide to Usagi Tsukino and the other Sailor Guardians in the Sailor Moon series.
- F. None of above.
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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241f582c81909a244419cec38b19 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6700274c8190a3a1a6f76290568f |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a677f3d788190acba362aa3ff80ad |
completed | May 18, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68244250819082094878c9001b5c |
completed | May 18, 2026, 1:15 a.m. |
Created at: April 16, 2026, 7:55 p.m.