Triple
T15972807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryder |
E387365
|
entity |
| Predicate | commands |
P2333
|
FINISHED |
| Object | Rex |
E420931
|
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: Rex | Statement: [Ryder, commands, Rex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rex Context triple: [Ryder, commands, Rex]
-
A.
Rex
chosen
Rex is a veteran clone trooper captain from the Star Wars universe who appears in Star Wars Rebels as an experienced ally of the early Rebel Alliance.
-
B.
Rex
Rex is the military working dog who partners with U.S. Marine Megan Leavey in the biographical war drama film "Megan Leavey."
-
C.
Rex
Rex is the trading name and brand of Rex Airlines, an Australian regional airline.
-
D.
Rex
Rex is a component or subdivision of the larger entity known as Rex Neapolis.
-
E.
Rex
Rex is one of the central characters in the American television sitcom "Perfect Couples," which follows the romantic and comedic misadventures of three very different couples.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c76c988190a2f2bb4b6ac5ef25 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.