Triple
T16724468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodi Rell |
E406433
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jodi Rell |
E406433
|
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: Jodi Rell | Statement: [Jodi Rell, name, Jodi Rell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodi Rell Context triple: [Jodi Rell, name, Jodi Rell]
-
A.
Jodi Rell
chosen
Jodi Rell is an American politician who served as the 87th Governor of Connecticut, becoming the state's second female governor.
-
B.
Richard J. Codey
Richard J. Codey is a longtime New Jersey politician who served as the state's governor and Senate president.
-
C.
Dannel P. Malloy
Dannel P. Malloy is an American politician and former governor of Connecticut who later became chancellor of the University of Maine System.
-
D.
Karyn Polito
Karyn Polito is an American Republican politician who served as the 72nd lieutenant governor of Massachusetts alongside Governor Charlie Baker.
-
E.
Michael Sununu
Michael Sununu is a member of the prominent Sununu political family from New Hampshire, related to several high-profile Republican officeholders.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38746c8fc81908b9fade26f37be11 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d43c49081908eca922da8f90793 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.