Triple
T18878922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan and the Lost City |
E461764
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Bayard Johnson |
—
|
NE NERFINISHED |
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: Bayard Johnson | Statement: [Tarzan and the Lost City, screenwriter, Bayard Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayard Johnson Context triple: [Tarzan and the Lost City, screenwriter, Bayard Johnson]
-
A.
Bayard Johnson
chosen
Bayard Johnson is a screenwriter best known for co-writing the 1998 adventure film "Tarzan and the Lost City."
-
B.
Tex Johnson
Tex Johnson is a musician known for being a member of the blues-rock supergroup Derek and the Dominos.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
James Seay
James Seay was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1960s.
-
E.
Warren Cowgill
Warren Cowgill was an influential American historical linguist known for his work on Indo-European linguistics and his advocacy of the Italo-Celtic hypothesis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d06ef481908bba297d7a1fd011 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.