Triple
T13517556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shekhar Kapur |
E322804
|
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: [Shekhar Kapur, notableWork, Masoom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masoom Context triple: [Shekhar Kapur, 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.
Sabika
Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
-
E.
Masmo
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75496496c819093a9e763d293bcf7 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.