Triple
T7080077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Jerome |
E164929
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Clara Jerome |
E507069
|
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: Clara Jerome | Statement: [Leonard Jerome, child, Clara Jerome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Jerome Context triple: [Leonard Jerome, child, Clara Jerome]
-
A.
Clara Jerome
chosen
Clara Jerome was the daughter of American socialite Clarissa Hall, likely a member of a prominent family in 19th-century New York society.
-
B.
Clara Jane Bryant
Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
-
C.
Lucy McKim Garrison
Lucy McKim Garrison was an American musicologist and abolitionist best known as a co-editor of the influential 1867 collection "Slave Songs of the United States," one of the first published anthologies of African American spirituals.
-
D.
Amabel James
Amabel James is known as the spouse of British businessman and hedge fund manager Tony James.
-
E.
Clara Bingham
Clara Bingham is an American journalist, author, and documentary producer known for her investigative work on gender, power, and workplace harassment.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f063488190b9e1c614a9294bd1 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31c26808190870e6bcdef45d1d7 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:40 p.m.