Triple
T2369557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elijah Wood |
E46054
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wilfred |
E37126
|
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: Wilfred | Statement: [Elijah Wood, notableWork, Wilfred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilfred Context triple: [Elijah Wood, notableWork, Wilfred]
-
A.
Wilfred
chosen
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
B.
Wilfrid
Wilfrid is a masculine given name of Old English origin, often associated with early medieval saints and historical figures in Britain.
-
C.
Godric
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
-
D.
Willibald
Willibald is the given name of the influential 18th-century opera composer Christoph Willibald Gluck.
-
E.
Taliesin
Taliesin is Frank Lloyd Wright’s famed Wisconsin estate and studio, celebrated as a landmark of organic architecture and a central site in his life and work.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76dcaa481908567a068bd61e5ad |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea89eb46481909cc01202839d417f |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:56 p.m.