Triple
T7911540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Named Me Malala |
E183709
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Brad Fuller |
E183709
|
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: Brad Fuller | Statement: [He Named Me Malala, editor, Brad Fuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Fuller Context triple: [He Named Me Malala, editor, Brad Fuller]
-
A.
Brad Fuller
chosen
Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
-
B.
Brad Fuller
Brad Fuller is an American film and television producer best known for co-founding Platinum Dunes and producing numerous horror franchises, including remakes of classic slasher films and projects like The Purge.
-
C.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
-
D.
Douglas Booth
Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
-
E.
Marc Bell
Marc Bell is a Canadian cartoonist and artist known for his surreal, densely detailed comics and contributions to the alternative and underground comics scene.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a725b8c8190a530adb3107a95dd |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5634f3c48190a801945317e4883d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:04 p.m.