Triple
T13234128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Vivian Teresa Brittain Williams |
E315099
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shirley |
E7949
|
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: Shirley | Statement: [Shirley Vivian Teresa Brittain Williams, givenName, Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Context triple: [Shirley Vivian Teresa Brittain Williams, givenName, Shirley]
-
A.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
B.
Shirley
"Shirley" is a rock and roll song by Welsh singer Shakin' Stevens, known as one of his early hits.
-
C.
Shirley
chosen
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
D.
Shirley
Shirley is a suburban area in the London Borough of Croydon, known for its residential neighborhoods and proximity to green spaces and nearby districts like West Wickham.
-
E.
Shirley
Shirley is a suburban area within the town of Solihull in the West Midlands, England, known for its residential neighborhoods and local shopping facilities.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.