Triple
T21614378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Braugher |
E533394
|
entity |
| Predicate | portrayedIn |
P626
|
FINISHED |
| Object | Glory |
—
|
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: Glory | Statement: [Andre Braugher, portrayedIn, Glory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glory Context triple: [Andre Braugher, portrayedIn, Glory]
-
A.
Glory
Glory is the airline callsign used by UNI Air, a Taiwanese regional carrier.
-
B.
Glory
Glory is a feminine given name most notably associated with American professional basketball player Glory Johnson.
-
C.
Glory
"Glory" is a song performed by American singer Celia.
-
D.
Glory
"Glory" is a hip-hop track by American rapper Hodgy Beats that showcases his introspective lyrics and distinctive alternative rap style.
-
E.
Glory
chosen
"Glory" is a 1989 American war drama film about the first African-American regiment in the Union Army during the U.S. Civil War, acclaimed for its powerful performances and historical significance.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba9aca48190b5180eefd61a9fdc |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.