Triple
T16671389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Summerall |
E405112
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ford Models (past) |
E900056
|
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: Ford Models (past) | Statement: [Sharon Summerall, employer, Ford Models (past)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford Models (past) Context triple: [Sharon Summerall, employer, Ford Models (past)]
-
A.
Ford Models
chosen
Ford Models is a prominent international modeling agency known for representing high-profile fashion models and shaping the modern modeling industry.
-
B.
Ford Mercury models (selected years)
Ford Mercury models (selected years) are a range of mid-priced American passenger cars produced by Ford’s Mercury division during specific model years.
-
C.
A-Model Ford
A-Model Ford is the common name for Ford's late-1920s Model A automobile, a popular successor to the Model T known for its improved performance and modern styling.
-
D.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
E.
Ford Ranges
Ford Ranges are a group of largely ice-covered mountain ranges in western Antarctica’s Marie Byrd Land, notable for their remote, rugged peaks and extensive glaciation.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3692588190a94d349cb63d9749 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.