Triple
T10077747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fara Williams |
E213813
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Merrett |
E699973
|
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: Merrett | Statement: [Fara Williams, familyName, Merrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merrett Context triple: [Fara Williams, familyName, Merrett]
-
A.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
B.
Goldmont
Goldmont is an Intel low-power CPU microarchitecture designed to improve performance and efficiency in Atom-based processors for mobile and embedded devices.
-
C.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
D.
Graydon
chosen
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
-
E.
Merrillia
Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd02f47e08190bfeb641b202beecc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ad05bbc8190b103d66c9e786c86 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.