Triple
T22596668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proximo |
E574698
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | John Logan |
E141953
|
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 Logan | Statement: [Proximo, createdBy, John Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Logan Context triple: [Proximo, createdBy, John Logan]
-
A.
John Logan
John Logan was a prominent 18th-century Mingo (Iroquois) leader and orator known for his tragic role in the conflicts between Native Americans and colonial settlers in the Ohio Valley.
-
B.
John Logan
chosen
John Logan is an acclaimed American playwright and screenwriter known for works such as "Gladiator," "The Aviator," and the James Bond films "Skyfall" and "Spectre."
-
C.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
-
D.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
-
E.
Brian Wilde
Brian Wilde was an English character actor best known for his comedic roles in British television series such as "Last of the Summer Wine" and "Porridge."
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16269a56881909bb5af0258150f93 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d63af408190b295665954b2ea6b |
completed | May 18, 2026, 4:25 p.m. |
Created at: April 17, 2026, 2:50 p.m.