Triple
T16005448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Light |
E388204
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | W. Jeffrey |
E85481
|
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: W. Jeffrey | Statement: [The Light, hasAuthor, W. Jeffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W. Jeffrey Context triple: [The Light, hasAuthor, W. Jeffrey]
-
A.
W. Jeffrey
chosen
W. Jeffrey is an author known for writing the work titled "The Light."
-
B.
Jeffrey M. Werner
Jeffrey M. Werner is a film editor best known for his work on acclaimed independent and studio features, including the comedy-drama "The Kids Are All Right."
-
C.
Wesley A. Brown
Wesley A. Brown was the first African American graduate of the United States Naval Academy and a pioneering U.S. Navy officer.
-
D.
R. Stephen Wiles
R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
-
E.
Gary J. Walters
Gary J. Walters is a former White House Chief Usher who oversaw the executive mansion’s household operations and logistics across multiple U.S. presidential administrations.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157ff33d88190b5a92f7ff70b24eb |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dec0c0819099b9007ad0fc6fb4 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.