Triple
T1713142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xander |
E37227
|
entity |
| Predicate | hasFictionalBearer |
P7927
|
FINISHED |
| Object | Xander Cage |
E37227
|
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: Xander Cage | Statement: [Xander, hasFictionalBearer, Xander Cage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xander Cage Context triple: [Xander, hasFictionalBearer, Xander Cage]
-
A.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
-
B.
Logan Killicks
Logan Killicks is Janie Crawford’s first husband in Zora Neale Hurston’s novel "Their Eyes Were Watching God," an older, pragmatic farmer whose loveless, controlling marriage prompts her search for independence and true love.
-
C.
Alec Hardison
Alec Hardison is a brilliant, pop-culture-savvy hacker and tech expert who handles all things digital and logistical for the Leverage crew.
-
D.
Xander
chosen
Xander is a given name commonly used as a modern, informal variant of Alexander.
-
E.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae10a048190b7a39e4fb4fbe224 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.