Triple
T7918071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Movie |
E183876
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Christina Steinberg |
E445844
|
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: Christina Steinberg | Statement: [Bee Movie, producer, Christina Steinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christina Steinberg Context triple: [Bee Movie, producer, Christina Steinberg]
-
A.
Christina Steinberg
chosen
Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
-
B.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
C.
Christina Zeidler
Christina Zeidler is a Canadian artist, filmmaker, and designer known for her work in architecture and cultural projects, including leadership roles at Zeidler Partnership Architects.
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Kristin Westphalen
Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef298986c8190a253d5c61310a23a |
completed | April 2, 2026, 10:50 p.m. |
Created at: March 30, 2026, 5:05 p.m.