Triple
T19560385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Arthur |
E489432
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shane |
—
|
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: Shane | Statement: [Jean Arthur, notableWork, Shane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Context triple: [Jean Arthur, notableWork, Shane]
-
A.
Shane
Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
-
B.
Shane
chosen
Shane is a classic 1953 American Western film, directed by George Stevens, that follows a mysterious gunslinger who becomes entangled in a frontier family's struggle against a ruthless cattle baron.
-
C.
Shane
Shane is one of the central protagonists in the dystopian horror-thriller film "The Purge: Anarchy," caught on the streets during the annual night of legalized crime.
-
D.
Shane Drake
Shane Drake is an American music video director known for his work with major pop and rock artists across the 2000s and 2010s.
-
E.
Shane Harper
Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.