Triple
T13145899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle Fanning |
E312332
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fanning |
E367988
|
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: Fanning | Statement: [Elle Fanning, familyName, Fanning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanning Context triple: [Elle Fanning, familyName, Fanning]
-
A.
Fanning
chosen
Fanning is the surname of American actress Dakota Fanning, known for her prominent roles in film and television since childhood.
-
B.
Fagan
Fagan is the family name of legendary American jazz singer Billie Holiday, born Eleanora Fagan.
-
C.
Fadden
Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
-
D.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
-
E.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae675508190991ce5902768c45a |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.