Triple
T14028921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinker Bell and the Legend of the NeverBeast |
E337534
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Steve Loter |
E1074856
|
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: Steve Loter | Statement: [Tinker Bell and the Legend of the NeverBeast, writer, Steve Loter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Loter Context triple: [Tinker Bell and the Legend of the NeverBeast, writer, Steve Loter]
-
A.
Steve Loter
chosen
Steve Loter is an American animation director and producer best known for his work on various Disney projects, including films in the Tinker Bell franchise and animated television series.
-
B.
Joe Klotz
Joe Klotz is an American film editor best known for his acclaimed work on the drama film "Precious."
-
C.
Larry Kellner
Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
-
D.
Larry Cipa
Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
-
E.
Barry Kroeger
Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb657ab348190ab51ec0e8caa2c4f |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.