Triple
T15179322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Downey |
E362696
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | June |
E85938
|
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: June | Statement: [June Downey, givenName, June]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Context triple: [June Downey, givenName, June]
-
A.
June
chosen
June is an early-summer month in the Northern Hemisphere often associated with favorable weather for outdoor activities and mountaineering.
-
B.
June
June is a central character in the novel "Off Keck Road," around whom much of the story’s emotional and interpersonal drama revolves.
-
C.
Juni
Juni is a bilingual producer known for creating content across multiple languages.
-
D.
July
July is the seventh month of the year, typically associated with mid-summer in the Northern Hemisphere and named after Julius Caesar.
-
E.
Juin
Juin is the surname of Alphonse Juin, a prominent French general and Marshal of France during World War II.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.