Triple
T2348071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir William Phips |
E45178
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Phips |
E45178
|
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: Phips | Statement: [Sir William Phips, familyName, Phips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phips Context triple: [Sir William Phips, familyName, Phips]
-
A.
Phips
chosen
Phips is a surname most notably associated with Sir William Phips, the first royally appointed governor of the Province of Massachusetts Bay in the late 17th century.
-
B.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
C.
Phillip
Phillip is the given first name of former NFL quarterback and sports broadcaster Phil Simms.
-
D.
Hap
Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
-
E.
Flynt
Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6cae18881908c2f5bc7ffd8c8c1 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9629f4908190ba3c51b7d12be4e4 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.