Triple
T23480560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Hays as Ted Striker |
E570392
|
entity |
| Predicate | airlineInStory |
P90020
|
FINISHED |
| Object | Trans American Airlines |
—
|
NE NERFINISHED |
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: Trans American Airlines | Statement: [Robert Hays as Ted Striker, airlineInStory, Trans American Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineInStory Context triple: [Robert Hays as Ted Striker, airlineInStory, Trans American Airlines]
-
A.
airlineContext
Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
-
B.
airline
Indicates that an entity operates as a commercial air transport carrier providing flight services between locations.
-
C.
fictionalAirline
chosen
Indicates that an entity is an airline that exists only in fiction rather than in the real world.
-
D.
airlineBrand
Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
-
E.
airlineService
Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
- F. None of above.
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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a75002008190b02fbffd94e5e8b1 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.