Triple
T9321769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Jones |
E224281
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Well |
E255994
|
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: The Well | Statement: [Laura Jones, notableWork, The Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Well Context triple: [Laura Jones, notableWork, The Well]
-
A.
The Well
chosen
The Well is a 1997 Australian psychological thriller film in which Miranda Otto gives a critically acclaimed performance as a young woman entangled in a tense, isolating relationship with her guardian.
-
B.
The Well
"The Well" is a song by American singer-songwriter Smog (Bill Callahan), featured on his 2005 album *A River Ain't Too Much to Love*, known for its sparse, introspective folk style.
-
C.
The Well
The Well is a film featuring actress Dorothy Patrick, known for her roles in mid-20th-century American cinema.
-
D.
Wizard’s Well
Wizard’s Well is a historic, carved spring on Alderley Edge in Cheshire, England, associated with local legends of a sleeping army and a mysterious wizard.
-
E.
Old Well
Old Well is a 1986 Chinese drama film directed by Wu Tianming and noted for its acclaimed cinematography by Zhang Yimou.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7d70b1c8190a254f58efc370624 |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:38 p.m.