Triple
T12683386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rover |
E303002
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Antony Partos |
E498668
|
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: Antony Partos | Statement: [The Rover, musicBy, Antony Partos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antony Partos Context triple: [The Rover, musicBy, Antony Partos]
-
A.
Antony Partos
chosen
Antony Partos is an Australian screen composer best known for his atmospheric, award-winning scores for film and television.
-
B.
Antony Jameson
Antony Jameson is a prominent aerospace engineer and computational fluid dynamics pioneer known for developing influential numerical methods and software for aerodynamic analysis and aircraft design.
-
C.
Eddie Constantine
Eddie Constantine was an American-born French singer and actor best known for his tough-guy roles in European cinema, particularly as secret agent Lemmy Caution.
-
D.
Yorick Brown
Yorick Brown is the protagonist of the comic series "Y: The Last Man," a young escape artist who becomes the sole surviving human male after a mysterious global plague.
-
E.
Sean Pertwee
Sean Pertwee is an English actor known for his versatile character roles in film and television, including notable appearances in genre works like science fiction and horror.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.