Triple
T2644196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Wood |
E62945
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Criswell |
E116563
|
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: Criswell | Statement: [Ed Wood, portrays, Criswell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Criswell Context triple: [Ed Wood, portrays, Criswell]
-
A.
Criswell
chosen
Criswell was an American psychic and television personality best known for his dramatic, often inaccurate predictions and his campy narration in the cult film "Plan 9 from Outer Space."
-
B.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
C.
Forrest Church
Forrest Church was a prominent American Unitarian Universalist minister, theologian, and author known for his writings on religion, politics, and the meaning of life.
-
D.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
E.
Asbury
Asbury is a masculine given name of English origin that has been borne by various notable American figures, including politicians and religious leaders.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd90046dc81908bab3440733f1e98 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c2bde8819085fbe1e5221be88d |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.