Triple
T10344946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Bilson |
E243720
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bilson |
E780414
|
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: Bilson | Statement: [Rachel Bilson, familyName, Bilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilson Context triple: [Rachel Bilson, familyName, Bilson]
-
A.
Bilson
chosen
Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
-
B.
Birs
The Birs is a river in northwestern Switzerland that flows through the Jura region before joining the Rhine near Basel.
-
C.
Baralbins
Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
-
D.
Bilu
Bilu was a pioneering Jewish movement of young idealists in the late 19th century who immigrated to Ottoman Palestine to establish agricultural settlements and promote Zionist ideals.
-
E.
Bilger
Bilger is a surname of likely Germanic origin borne by various individuals, including academic and literary 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9228cd88190bcd94b85537233c1 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7507f708c8190b8cf684704a6e47d |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:56 a.m.