Triple
T18856009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Command |
E461171
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Timothy Zahn |
—
|
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: Timothy Zahn | Statement: [The Last Command, author, Timothy Zahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Zahn Context triple: [The Last Command, author, Timothy Zahn]
-
A.
Timothy Zahn
chosen
Timothy Zahn is an American science fiction author best known for his influential Star Wars novels, particularly those introducing the character Grand Admiral Thrawn.
-
B.
Lazlo Biggs
Lazlo Biggs is the child of American actor Jason Biggs.
-
C.
Rick Jaffa
Rick Jaffa is an American screenwriter and producer best known for co-writing major science fiction and adventure films such as the rebooted Planet of the Apes series and Jurassic World.
-
D.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
E.
Simon Furman
Simon Furman is a British comic book writer best known for his influential and long-running work on the Transformers franchise across multiple publishers and continuities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.