Triple
T9937152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Mighty Heart |
E193986
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Archie Panjabi |
E338847
|
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: Archie Panjabi | Statement: [A Mighty Heart, starring, Archie Panjabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Archie Panjabi Context triple: [A Mighty Heart, starring, Archie Panjabi]
-
A.
Archie Panjabi
chosen
Archie Panjabi is a British actress best known for her acclaimed role as Kalinda Sharma on the television series "The Good Wife."
-
B.
Baljeet Tjinder
Baljeet Tjinder is a studious, academically driven boy in the animated series "Phineas and Ferb," known for his intelligence, anxiety about grades, and frequent involvement in the protagonists’ inventions and adventures.
-
C.
Jay Chaudhry
Jay Chaudhry is an Indian-American entrepreneur and billionaire best known as the founder and CEO of the cloud security company Zscaler.
-
D.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
E.
Peter Saraf
Peter Saraf is an American film producer known for his work on acclaimed independent and mainstream films, including "A Beautiful Day in the Neighborhood."
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228e7247c81908dbba76199f2e93f |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.