Triple
T9864913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dannel P. Malloy |
E239806
|
entity |
| Predicate | hasHonorificTitle |
P368
|
FINISHED |
| Object | Governor Malloy |
E239806
|
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: Governor Malloy | Statement: [Dannel P. Malloy, hasHonorificTitle, Governor Malloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Governor Malloy Context triple: [Dannel P. Malloy, hasHonorificTitle, Governor Malloy]
-
A.
Dannel P. Malloy
chosen
Dannel P. Malloy is an American politician and former governor of Connecticut who later became chancellor of the University of Maine System.
-
B.
Governor Bellingham
Governor Bellingham is a stern, aristocratic colonial magistrate in Nathaniel Hawthorne’s "The Scarlet Letter," symbolizing the rigid authority and moral judgment of Puritan society.
-
C.
Jodi Rell
Jodi Rell is an American politician who served as the 87th Governor of Connecticut, becoming the state's second female governor.
-
D.
Governor Olson
Governor Olson is the honorific title used for Culbert Olson, who served as the 29th governor of California from 1939 to 1943.
-
E.
Governor Scott Buxton
Governor Scott Buxton is the main British colonial antagonist in the Indian Telugu-language film "RRR."
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3ba7f288190a15ebec2cc3112c4 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eadd95ac81909a265db37b648df0 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:36 p.m.