Triple
T197773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodie Foster |
E4034
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Flightplan |
E25130
|
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: Flightplan | Statement: [Jodie Foster, starredIn, Flightplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flightplan Context triple: [Jodie Foster, starredIn, Flightplan]
-
A.
Flightplan
chosen
Flightplan is a 2005 psychological thriller film starring Jodie Foster as a mother whose daughter mysteriously disappears during a transatlantic flight.
-
B.
Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
-
C.
Terminal 1
Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
-
D.
Terminal 1
Terminal 1 is a passenger terminal at San Francisco International Airport that serves as one of the airport’s main facilities for airline check-in, security, and boarding.
-
E.
Terminal 1
Terminal 1 is one of the main passenger terminals at Ronald Reagan Washington National Airport, serving various domestic airline operations and traveler services.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcb2c7c8190b0e031e93651182a |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31c93aa348190a7555a8327f7ad99 |
completed | Feb. 28, 2026, 4:49 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.