Triple
T16295886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Dearden |
E395645
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dearden |
E1049898
|
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: Dearden | Statement: [Taylor Dearden, familyName, Dearden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dearden Context triple: [Taylor Dearden, familyName, Dearden]
-
A.
Dearden
chosen
Dearden is an English surname borne by various notable individuals across fields such as film, politics, and academia.
-
B.
Sharswood
Sharswood is a residential neighborhood in North Philadelphia known for its ongoing redevelopment and proximity to areas like Brewerytown and Girard College.
-
C.
Burdine
Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
-
D.
Goldwyn
Goldwyn is a notable American surname most famously associated with film producer Samuel Goldwyn and his entertainment-industry family.
-
E.
Thorton
Thorton is a budget-oriented AMD Sempron CPU core derived from the Barton architecture, typically featuring a reduced L2 cache for lower-cost desktop processors.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2d08108190bab1b3325923af1d |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9b42248190a3c8c2647a42aeb9 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.