Triple
T16275102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamra Davis |
E395103
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crossroads |
E488407
|
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: Crossroads | Statement: [Tamra Davis, notableWork, Crossroads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crossroads Context triple: [Tamra Davis, notableWork, Crossroads]
-
A.
Crossroads
Crossroads is a township in the Cape Flats area of Cape Town, South Africa, historically known for its role in anti-apartheid resistance and community activism.
-
B.
Crossroads
Crossroads are a type of intersection structure within Minecraft’s Nether fortresses where multiple corridors meet, often serving as key points for navigation and mob spawning.
-
C.
Crossroads
Crossroads is a long-running British television soap opera set in a Midlands motel, known for its melodramatic storylines and iconic status in UK popular culture.
-
D.
Crossroads
Crossroads is a 2021 family saga novel by Jonathan Franzen that explores faith, morality, and personal crisis within a Midwestern pastor’s family in the 1970s.
-
E.
Crossroads
chosen
Crossroads is a 2002 coming-of-age road trip film starring Britney Spears, produced by MTV Films.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460d30608190a721aa845fcf7cf6 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f90d4088190915d701978f018a5 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.