Triple
T22433296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parched |
E554549
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Lehar Khan
Lehar Khan is an Indian actress best known for her role in the critically acclaimed film "Parched."
|
E1536927
|
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: Lehar Khan | Statement: [Parched, leadActor, Lehar Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lehar Khan Context triple: [Parched, leadActor, Lehar Khan]
-
A.
Alim Khan
Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
-
B.
Nasir Khan
Nasir Khan was an Indian film actor known for his roles in Hindi cinema during the mid-20th century.
-
C.
Majrooh Sultanpuri
Majrooh Sultanpuri was a celebrated Indian Urdu poet and prolific film lyricist whose songs became classics of Hindi cinema from the 1940s onward.
-
D.
Safar Ali Moradi
Safar Ali Moradi is an actor best known for his role in Abbas Kiarostami’s acclaimed Iranian film "Taste of Cherry."
-
E.
Farid Khan
Farid Khan, better known as Sher Shah Suri, was a 16th-century Afghan ruler of the Sur Empire in northern India, renowned for his administrative reforms and the expansion and improvement of the Grand Trunk Road.
- 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: Lehar Khan Triple: [Parched, leadActor, Lehar Khan]
Generated description
Lehar Khan is an Indian actress best known for her role in the critically acclaimed film "Parched."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lehar Khan Target entity description: Lehar Khan is an Indian actress best known for her role in the critically acclaimed film "Parched."
-
A.
Alim Khan
Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
-
B.
Nasir Khan
Nasir Khan was an Indian film actor known for his roles in Hindi cinema during the mid-20th century.
-
C.
Majrooh Sultanpuri
Majrooh Sultanpuri was a celebrated Indian Urdu poet and prolific film lyricist whose songs became classics of Hindi cinema from the 1940s onward.
-
D.
Safar Ali Moradi
Safar Ali Moradi is an actor best known for his role in Abbas Kiarostami’s acclaimed Iranian film "Taste of Cherry."
-
E.
Farid Khan
Farid Khan, better known as Sher Shah Suri, was a 16th-century Afghan ruler of the Sur Empire in northern India, renowned for his administrative reforms and the expansion and improvement of the Grand Trunk Road.
- 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_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c6ba6c48190961dd15f495f98c0 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d3a0040819088ecd28b64478e3f |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dd04094819095653ada8483ba77 |
completed | May 18, 2026, 1:02 p.m. |
Created at: April 16, 2026, 8:47 p.m.