Triple
T9794237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persis Khambatta |
E237677
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Saazish
Saazish is a 1975 Indian Hindi-language thriller film featuring Persis Khambatta in a prominent role.
|
E822245
|
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: Saazish | Statement: [Persis Khambatta, notableWork, Saazish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saazish Context triple: [Persis Khambatta, notableWork, Saazish]
-
A.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
B.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
C.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
D.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
-
E.
Mezdra
Mezdra is a small town in northwestern Bulgaria known as a key railway junction and its location in the scenic Iskar River Gorge.
- 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: Saazish Triple: [Persis Khambatta, notableWork, Saazish]
Generated description
Saazish is a 1975 Indian Hindi-language thriller film featuring Persis Khambatta in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saazish Target entity description: Saazish is a 1975 Indian Hindi-language thriller film featuring Persis Khambatta in a prominent role.
-
A.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
B.
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
C.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
D.
Zuiker
Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
-
E.
Mezdra
Mezdra is a small town in northwestern Bulgaria known as a key railway junction and its location in the scenic Iskar River Gorge.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c5e6a2f881908666328ce72a95ed |
completed | April 5, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c68311008190b2d5b8a2fadfba69 |
completed | April 5, 2026, 2:18 a.m. |
Created at: March 30, 2026, 8:28 p.m.