Triple
T19402736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilford |
E485368
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Meredith |
—
|
NE NERFINISHED |
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: Meredith | Statement: [Gilford, adjacentTo, Meredith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meredith Context triple: [Gilford, adjacentTo, Meredith]
-
A.
Meredith
chosen
Meredith is a New Hampshire resort town on the shores of Lake Winnipesaukee known for its waterfront, tourism, and scenic New England charm.
-
B.
Meredith
Meredith is a surname of English and Welsh origin borne by various notable individuals across politics, arts, and other fields.
-
C.
Meredith
Meredith is a fictional character from the U.S. television series "The Office," known for her inappropriate behavior, heavy drinking, and awkward office antics.
-
D.
Meredith Brown
Meredith Brown is a fictional character known as the sister of Velvet Brown in Enid Bagnold’s novel "National Velvet."
-
E.
Meredith Vickers
Meredith Vickers is a cold, authoritative Weyland Corporation executive who oversees the Prometheus mission in the 2012 science fiction film "Prometheus."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577f808819099e74feab82b34a4 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.