Triple
T14763934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Anne Bloomer |
E346943
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Elizabeth Anne Ford |
E375310
|
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: Elizabeth Anne Ford | Statement: [Elizabeth Anne Bloomer, alsoKnownAs, Elizabeth Anne Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Anne Ford Context triple: [Elizabeth Anne Bloomer, alsoKnownAs, Elizabeth Anne Ford]
-
A.
Elizabeth Anne Ford
chosen
Elizabeth Anne Ford was the First Lady of the United States from 1974 to 1977 and a prominent advocate for women's rights and addiction treatment.
-
B.
Margaret Ford
Margaret Ford is a successful psychiatrist who becomes entangled in the dangerous world of con artists in David Mamet’s psychological thriller film "House of Games."
-
C.
Mary Rose Foster
Mary Rose Foster is the fictional protagonist of the 1979 musical drama film "The Rose," loosely inspired by the life and career of rock singer Janis Joplin.
-
D.
Jane Ford
Jane Ford is an American entrepreneur and co-founder of the global beauty brand Benefit Cosmetics.
-
E.
Constance Ford
Constance Ford was an American actress best known for her work in mid-20th-century film, television, and soap operas, including a long-running role on "Another World."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f3a1608190b1b17624003a0c7f |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5dee8988190b80cb487c12bfc2d |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 1:30 a.m.