Triple
T1896712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britney Spears |
E37599
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spears |
E37599
|
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: Spears | Statement: [Britney Spears, familyName, Spears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spears Context triple: [Britney Spears, familyName, Spears]
-
A.
Stefani
Stefani is a prominent peak within Greece’s Mount Olympus massif, known for its striking rocky summit and dramatic alpine scenery.
-
B.
Britney Spears
chosen
Britney Spears is an American pop singer, dancer, and cultural icon widely credited with helping to revive teen pop in the late 1990s and early 2000s through hits like "...Baby One More Time" and "Toxic."
-
C.
Taylor
Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
-
D.
Taylor
Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
-
E.
Belinda
Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16f416c8190a49b24523b3a7f85 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaee6a048190afd01ab6339a2921 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.