Triple
T16528033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarina Wahab |
E401489
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Anjatha
Anjatha is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
|
E1218732
|
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: Anjatha | Statement: [Zarina Wahab, notableWork, Anjatha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjatha Context triple: [Zarina Wahab, notableWork, Anjatha]
-
A.
Taymuri
Taymuri are a sub-group of the Aimaq people, traditionally semi-nomadic pastoralists living mainly in western and central Afghanistan.
-
B.
Anjaneri
Anjaneri is a hill and pilgrimage site in Maharashtra, India, traditionally revered as the birthplace of the Hindu deity Hanuman and popular for trekking and religious tourism.
-
C.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
D.
Avanthika
Avanthika is a fierce and skilled warrior of the rebel group in the Indian epic film "Baahubali: The Beginning," known for her pivotal role in the fight against the tyrant Bhallaladeva.
-
E.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
- 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: Anjatha Triple: [Zarina Wahab, notableWork, Anjatha]
Generated description
Anjatha is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anjatha Target entity description: Anjatha is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
-
A.
Taymuri
Taymuri are a sub-group of the Aimaq people, traditionally semi-nomadic pastoralists living mainly in western and central Afghanistan.
-
B.
Anjaneri
Anjaneri is a hill and pilgrimage site in Maharashtra, India, traditionally revered as the birthplace of the Hindu deity Hanuman and popular for trekking and religious tourism.
-
C.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
D.
Avanthika
Avanthika is a fierce and skilled warrior of the rebel group in the Indian epic film "Baahubali: The Beginning," known for her pivotal role in the fight against the tyrant Bhallaladeva.
-
E.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed57be481908625d4c5aab0940c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0062cbe9048190823db47a42dac26a |
completed | May 10, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00635f57c08190ad915082b00b0f88 |
completed | May 10, 2026, 10:52 a.m. |
Created at: April 10, 2026, 5:14 a.m.