Triple
T12227167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telamon |
E291382
|
entity |
| Predicate | killed |
P4646
|
FINISHED |
| Object | Phocus |
E158840
|
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: Phocus | Statement: [Telamon, killed, Phocus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phocus Context triple: [Telamon, killed, Phocus]
-
A.
Phocus
chosen
Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
-
B.
Fokus
Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
-
C.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
D.
Fazy
Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
-
E.
Flandis
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5c1c988190a80917dfe782a6b6 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.