Triple
T15152420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Con O’Neill |
E361976
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Con |
E802448
|
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: Con | Statement: [Con O’Neill, givenName, Con]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Con Context triple: [Con O’Neill, givenName, Con]
-
A.
Con
chosen
Con is a common diminutive or nickname for the given name Conrad.
-
B.
Cong
Cong is a picturesque village in County Mayo, Ireland, famed for its historic abbey, scenic lakeside setting between Lough Corrib and Lough Mask, and as a primary filming location for the classic movie "The Quiet Man."
-
C.
Contin
Contin is a small village and historic parish in the Highland council area of Scotland, situated near the River Black Water and known as a gateway to the surrounding glens and lochs.
-
D.
CON
CON is a Nigerian national honor post-nominal indicating a recipient of the Commander of the Order of the Niger.
-
E.
CON
CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff44ef081908db5826c2626df06 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.