Triple
T16527549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabana Azmi |
E401479
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Masoom |
E816413
|
NE FINISHED |
How this triple was built (2 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: Masoom | Statement: [Shabana Azmi, notableWork, Masoom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masoom Context triple: [Shabana Azmi, notableWork, Masoom]
-
A.
Masoom
chosen
Masoom is a critically acclaimed 1983 Indian Hindi-language drama film directed by Shekhar Kapur, known for its sensitive portrayal of family relationships and memorable music.
-
B.
Mamo
Mamo is a Maltese surname most notably borne by Sir Anthony Mamo, the first President of Malta.
-
C.
Naila
Naila is a small town in northern Bavaria, Germany, known for its location near the Franconian Forest and its traditional Upper Franconian character.
-
D.
Memoni
Memoni is an Indo-Aryan language spoken primarily by the Memon community originating from the Kathiawar region of Gujarat, India, and now found across various parts of South Asia and the global diaspora.
-
E.
Momona
Momona is a small rural township on the Taieri Plains near Dunedin in New Zealand’s South Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.