Triple
T6391238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Ficarra |
E143830
|
entity |
| Predicate | coDirected |
P7732
|
FINISHED |
| Object | Whiskey Tango Foxtrot |
E406420
|
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: Whiskey Tango Foxtrot | Statement: [Glenn Ficarra, coDirected, Whiskey Tango Foxtrot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whiskey Tango Foxtrot Context triple: [Glenn Ficarra, coDirected, Whiskey Tango Foxtrot]
-
A.
Whiskey Tango Foxtrot
chosen
"Whiskey Tango Foxtrot" is a 2016 war comedy-drama film starring Tina Fey as a journalist covering the war in Afghanistan, based on Kim Barker's memoir "The Taliban Shuffle."
-
B.
Foxtrot
Foxtrot is a comic strip created by Bill Amend that humorously depicts the everyday life of the Fox family.
-
C.
November Bravo Sierra Echo
November Bravo Sierra Echo is the radio call sign assigned to the U.S. Navy battleship USS Wisconsin (BB-64).
-
D.
Black Five
Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
-
E.
Checkpoint Bravo
Checkpoint Bravo was one of the main Cold War crossing points on the border between West Berlin and East Germany, serving as a key transit route for traffic between West Berlin and West Germany.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687c7fdc819099cbbb937dec215e |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ba9e04819098713f5bea7ebdbc |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:34 p.m.