Triple
T21202840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahir Ludhianvi |
E522499
|
entity |
| Predicate | wroteLyricsForFilm |
P92748
|
FINISHED |
| Object |
Chitralekha
Chitralekha is a classic Hindi film, best known for its philosophical themes and memorable songs penned by renowned lyricist Sahir Ludhianvi.
|
E1471969
|
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: Chitralekha | Statement: [Sahir Ludhianvi, wroteLyricsForFilm, Chitralekha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chitralekha Context triple: [Sahir Ludhianvi, wroteLyricsForFilm, Chitralekha]
-
A.
Charu Chitra
Charu Chitra is a film production company associated with producer Mamta.
-
B.
Rachana
Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
-
C.
Swaralipi
Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
-
D.
Chitra
Chitra is a genus of large, softshell turtles known for their extremely flattened bodies and elongated snouts, found primarily in rivers of South and Southeast Asia.
-
E.
Chitra
Chitra is one of the eight principal gopi companions (Ashta Sakhis) of Radha and Krishna in Hindu Vaishnavite tradition.
- 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: Chitralekha Triple: [Sahir Ludhianvi, wroteLyricsForFilm, Chitralekha]
Generated description
Chitralekha is a classic Hindi film, best known for its philosophical themes and memorable songs penned by renowned lyricist Sahir Ludhianvi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chitralekha Target entity description: Chitralekha is a classic Hindi film, best known for its philosophical themes and memorable songs penned by renowned lyricist Sahir Ludhianvi.
-
A.
Charu Chitra
Charu Chitra is a film production company associated with producer Mamta.
-
B.
Rachana
Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
-
C.
Swaralipi
Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
-
D.
Chitra
Chitra is a genus of large, softshell turtles known for their extremely flattened bodies and elongated snouts, found primarily in rivers of South and Southeast Asia.
-
E.
Chitra
Chitra is one of the eight principal gopi companions (Ashta Sakhis) of Radha and Krishna in Hindu Vaishnavite tradition.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73432a2b88190a89e636626d40c9b |
completed | April 21, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ed0fc988190b112058f5bb03515 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a09807f39188190adaba95201b15d49 |
completed | May 17, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0981288c4c8190bc9ecf6073be5ab3 |
completed | May 17, 2026, 8:49 a.m. |
Created at: April 16, 2026, 3:19 p.m.