Triple
T8035719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 3 |
E187101
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Ethan Reiff |
E237865
|
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: Ethan Reiff | Statement: [Kung Fu Panda 3, storyBy, Ethan Reiff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Reiff Context triple: [Kung Fu Panda 3, storyBy, Ethan Reiff]
-
A.
Ethan Reiff
chosen
Ethan Reiff is an American screenwriter and producer best known for co-writing genre films and television projects such as "Bulletproof Monk" and co-creating the TV series "Sleepy Hollow."
-
B.
Radley Metzger
Radley Metzger was an American filmmaker renowned for his stylish, erotically charged art-house films that became emblematic of the Golden Age of Porn in the 1960s and 1970s.
-
C.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
D.
Isaiah Stone
Isaiah Stone is an American actor best known for his role in the critically acclaimed independent film "Winter’s Bone."
-
E.
Augie Hess
Augie Hess is an editor known for working on the film "Rules of Engagement."
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.