Triple
T16539235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Fox |
E401776
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julia Fox |
E401776
|
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: Julia Fox | Statement: [Julia Fox, name, Julia Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Fox Context triple: [Julia Fox, name, Julia Fox]
-
A.
Julia Fox
chosen
Julia Fox is an Italian-American actress and artist best known for her breakout role in the Safdie brothers’ crime thriller "Uncut Gems."
-
B.
Maya Erskine
Maya Erskine is an American actress, writer, and comedian best known for co-creating and starring in the cringe-comedy series "PEN15."
-
C.
Zoe Harrelson
Zoe Harrelson is one of the daughters of American actor Woody Harrelson.
-
D.
Jillian Bell
Jillian Bell is an American comedian, actress, and writer known for her sharp, offbeat humor in films and TV shows such as "Workaholics," "22 Jump Street," and "Brittany Runs a Marathon."
-
E.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed808448190936ea51a9a28a95a |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.