Triple
T2290406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Vanderbilt Sloane |
E51488
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emily |
E73544
|
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: Emily | Statement: [Emily Vanderbilt Sloane, givenName, Emily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Context triple: [Emily Vanderbilt Sloane, givenName, Emily]
-
A.
Emily
chosen
Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
-
B.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
C.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
D.
Amy
Amy is a critically acclaimed 2015 documentary film about the life and career of British singer-songwriter Amy Winehouse.
-
E.
Jessica
Jessica Barth is an American actress best known for her comedic role as Tami-Lynn in the "Ted" film series.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc27536588190a74731b5537c90ee |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa03e7b6c81909e61671bd4435723 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 4, 2026, 7:48 p.m.