Triple
T8960157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Pepper |
E213980
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pepper |
E460328
|
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: Pepper | Statement: [Barry Pepper, familyName, Pepper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepper Context triple: [Barry Pepper, familyName, Pepper]
-
A.
Pepper
chosen
Pepper is a common English surname borne by various notable individuals across fields such as medicine, politics, and the arts.
-
B.
Pepper
Pepper is a character romantically involved with Harry Bright in the story’s narrative.
-
C.
Pepper Imps
Pepper Imps are a magical wizarding sweet from the Harry Potter universe that make the eater breathe fire for a short time.
-
D.
Ginger
"Ginger" is a popular Afrobeats song by Nigerian artist Wizkid, featuring Burna Boy, from his acclaimed album "Made in Lagos."
-
E.
Ginger
Ginger is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for its ensemble cast of politically engaged lesbian and queer women.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6746fbf88190aba658b4b9c2e4b0 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94ab868819080ff3fc7532a3874 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7 p.m.