Triple
T3671657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone |
E77893
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Stone |
E79768
|
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: Stone | Statement: [Stone, title, Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stone Context triple: [Stone, title, Stone]
-
A.
Stone
chosen
Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
-
B.
Stone
Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
-
C.
Stone
"Stone" is a 2010 American crime drama film directed by John Curran, starring Robert De Niro, Edward Norton, and Milla Jovovich in a tense psychological story of manipulation and redemption.
-
D.
Stones
"Stones" is a track from Bruce Springsteen’s album *Western Stars*, reflecting the record’s cinematic, introspective Americana style.
-
E.
Black Stone
The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42de1bc819090e19dd0805f13a1 |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488526214819092abb95f7cf119d5 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.