Triple
T14156603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Compton |
E350829
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Compton |
E350829
|
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: John Compton | Statement: [John Compton, name, John Compton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Compton Context triple: [John Compton, name, John Compton]
-
A.
John Compton
chosen
John Compton was a Saint Lucian statesman who led the country to independence and served multiple terms as its prime minister.
-
B.
Bill Compton
Bill Compton is a centuries-old vampire and central protagonist in the television series "True Blood," known for his complex morality and romantic relationship with Sookie Stackhouse.
-
C.
Patrick Compton
Patrick Compton is an individual notable enough to be recognized as a prominent bearer of the surname Compton.
-
D.
Dennis Higgs
Dennis Higgs is a biologist known for his research in molecular evolution and his work as a professor at the University of Windsor.
-
E.
John McKinley
John McKinley was an Associate Justice of the U.S. Supreme Court in the mid-19th century, known for his participation in significant cases involving federal power and economic development.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.