Triple
T17607862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azeem |
E428881
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Will Scarlet |
—
|
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: Will Scarlet | Statement: [Azeem, allyOf, Will Scarlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Scarlet Context triple: [Azeem, allyOf, Will Scarlet]
-
A.
Will Scarlet
chosen
Will Scarlet is a legendary member of Robin Hood’s Merry Men, often portrayed as a dashing, hot-headed outlaw skilled with the sword.
-
B.
Firefist
Firefist is a young mutant with powerful pyrokinetic abilities who becomes a central figure in the plot of the superhero film "Deadpool 2."
-
C.
Cad Bane
Cad Bane is a ruthless Duros bounty hunter from the Star Wars universe, renowned for his cunning, advanced weaponry, and frequent clashes with Jedi and other underworld figures.
-
D.
Li Kui
Li Kui was an influential ancient Chinese statesman and legalist thinker of the State of Wei, known for pioneering legal and administrative reforms that helped lay the groundwork for later Legalist philosophy.
-
E.
Jack Firebrace
Jack Firebrace is a compassionate, working-class tunneller in Sebastian Faulks’s World War I novel "Birdsong," whose experiences highlight the human cost of the conflict.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4d8374819097cb112fba405e77 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.