Triple
T15876082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidel Dehlavi |
E384956
|
entity |
| Predicate | penName |
P3799
|
FINISHED |
| Object |
Bidel
Bidel was a prominent 17th-century Persian-language poet of the Indian subcontinent, renowned for his complex, mystical, and highly metaphorical style that deeply influenced later Urdu and Persian literature.
|
E1181023
|
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: Bidel | Statement: [Bidel Dehlavi, penName, Bidel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidel Context triple: [Bidel Dehlavi, penName, Bidel]
-
A.
Badel
Badel is a surname most notably associated with English actor Alan Badel, known for his work in mid-20th-century film, television, and theatre.
-
B.
Badie
Badie is a surname most notably associated with American actress Mina Badie.
-
C.
Badiu
Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
-
D.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
E.
Biétry
Biétry is an upscale coastal residential neighborhood in the Marcory commune of Abidjan, Côte d'Ivoire, known for its restaurants, hotels, and nightlife along the lagoon.
- 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: Bidel Triple: [Bidel Dehlavi, penName, Bidel]
Generated description
Bidel was a prominent 17th-century Persian-language poet of the Indian subcontinent, renowned for his complex, mystical, and highly metaphorical style that deeply influenced later Urdu and Persian literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bidel Target entity description: Bidel was a prominent 17th-century Persian-language poet of the Indian subcontinent, renowned for his complex, mystical, and highly metaphorical style that deeply influenced later Urdu and Persian literature.
-
A.
Badel
Badel is a surname most notably associated with English actor Alan Badel, known for his work in mid-20th-century film, television, and theatre.
-
B.
Badie
Badie is a surname most notably associated with American actress Mina Badie.
-
C.
Badiu
Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
-
D.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
E.
Biétry
Biétry is an upscale coastal residential neighborhood in the Marcory commune of Abidjan, Côte d'Ivoire, known for its restaurants, hotels, and nightlife along the lagoon.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:51 a.m.