Triple
T7004301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caleb Deschanel |
E162413
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deschanel |
E600864
|
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: Deschanel | Statement: [Caleb Deschanel, familyName, Deschanel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deschanel Context triple: [Caleb Deschanel, familyName, Deschanel]
-
A.
Deschanel
chosen
Deschanel is the surname of a prominent American entertainment family that includes actors Zooey and Emily Deschanel and cinematographer Caleb Deschanel.
-
B.
Mary Jo Deschanel
Mary Jo Deschanel is an American actress known for her film and television work and as the mother of actresses Zooey and Emily Deschanel.
-
C.
Chellie
Chellie is an American politician and Democratic U.S. Representative from Maine known for her work on environmental and agricultural issues.
-
D.
Rachel White
Rachel White is the conflicted protagonist of Emily Giffin’s novel "Something Borrowed," a diligent lawyer whose life unravels when she falls in love with her best friend’s fiancé.
-
E.
Leah Ashley
Leah Ashley is a fashion and lifestyle expert best known as a co-host and style contributor on the daytime talk show FABLife.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc14037c81908bb87250ef29be50 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7755c7c1481908eed49c72726195e |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:33 p.m.