Triple
T8559102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram (2022 film) |
E202645
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Fahadh Faasil |
E632330
|
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: Fahadh Faasil | Statement: [Vikram (2022 film), leadActor, Fahadh Faasil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahadh Faasil Context triple: [Vikram (2022 film), leadActor, Fahadh Faasil]
-
A.
Fahadh Faasil
chosen
Fahadh Faasil is an acclaimed Indian actor, primarily known for his versatile and intense performances in Malayalam cinema and notable roles in pan-Indian films.
-
B.
Nagi Hassan
Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
-
C.
Amos Labaki
Amos Labaki is a cinematographer best known for his work on the 1995 horror film "The Mangler," adapted from a Stephen King short story.
-
D.
Moustafà
Moustafà is a variant spelling of the given name Mustafa, a common Arabic name meaning "the chosen one."
-
E.
Nabil Shaath
Nabil Shaath is a prominent Palestinian politician and diplomat who has held senior roles in the Palestinian Authority, including as foreign minister and negotiator in peace talks with Israel.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb84a6988190ba6852f72c8918ca |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:20 p.m.