Triple
T605305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennie Jerome |
E11581
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Jennie |
E47548
|
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: Jennie | Statement: [Jennie Jerome, nickname, Jennie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennie Context triple: [Jennie Jerome, nickname, Jennie]
-
A.
Jennifer
chosen
Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
-
B.
Kiana Williams
Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
-
C.
Mina Miller
Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
-
D.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
E.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c389eb708190911de8a28e55ab7f |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:35 p.m.