Triple
T17749720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Well |
E443079
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | Old Well |
—
|
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: Old Well | Statement: [Old Well, hasEnglishTitle, Old Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Well Context triple: [Old Well, hasEnglishTitle, Old Well]
-
A.
Old Well
chosen
Old Well is an iconic neoclassical rotunda and campus symbol of the University of North Carolina at Chapel Hill, traditionally associated with good luck for students who drink from it.
-
B.
Old Well
Old Well is a 1986 Chinese drama film directed by Wu Tianming and noted for its acclaimed cinematography by Zhang Yimou.
-
C.
Mary’s Well
Mary’s Well is a historic spring and pilgrimage site in Nazareth traditionally associated with the Virgin Mary and the Annunciation.
-
D.
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.
-
E.
The Well
The Well is a film featuring actress Dorothy Patrick, known for her roles in mid-20th-century American cinema.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.