Triple
T22372592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Mills |
E553078
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mills |
—
|
NE NERFINISHED |
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: Mills | Statement: [Stephanie Mills, familyName, Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mills Context triple: [Stephanie Mills, familyName, Mills]
-
A.
Mills
chosen
Mills is a common English surname borne by numerous notable individuals across fields such as music, politics, sports, and academia.
-
B.
The Mills
The Mills is a portfolio of large outlet and value-oriented shopping malls in the United States, known for combining retail, dining, and entertainment under the ownership of Simon Property Group.
-
C.
MILLom
MILLom is a small coastal town in Cumbria, England, historically known for its ironworks and situated near the Duddon Estuary.
-
D.
Milles
Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
-
E.
Millan
Millan is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and academia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15804f1b08190b57689e6afb615a0 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.