Triple
T1109559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jo Kopechne |
E25562
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Jo |
E59674
|
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: Jo | Statement: [Mary Jo Kopechne, middleName, Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Context triple: [Mary Jo Kopechne, middleName, Jo]
-
A.
Jo
chosen
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
B.
Jos
Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
-
C.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
-
D.
Joe
Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
-
E.
Jan
Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4ba045fd88190982e1c6278fb9ca3 |
completed | March 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbad845648190a3ee31506ac1a84c |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:43 p.m.