Triple
T10450415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Cole Fallon |
E246405
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | New York City (in childhood) |
E40
|
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: New York City (in childhood) | Statement: [Frances Cole Fallon, residence, New York City (in childhood)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York City (in childhood) Context triple: [Frances Cole Fallon, residence, New York City (in childhood)]
-
A.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
B.
New York City
chosen
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
-
C.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
-
D.
Brooklyn
Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
-
E.
Brooklyn
Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87efedf6c8190aa4b7bbe5f160eeb |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.