Triple
T8722239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Akers |
E207039
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Akers |
E573873
|
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: Akers | Statement: [David Akers, familyName, Akers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akers Context triple: [David Akers, familyName, Akers]
-
A.
Akers
chosen
Akers is the surname of Michelle Akers, a legendary American soccer player widely regarded as one of the greatest in women’s football history.
-
B.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
-
C.
Shaler
Shaler is a surname most notably associated with Nathaniel Shaler, a prominent 19th-century American geologist and paleontologist.
-
D.
Ayers-Allen
Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
-
E.
Northgate
Northgate is a residential neighbourhood and local community area within the town of Crawley in West Sussex, England.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.