Triple
T14752362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl |
E346640
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Ben Lester |
E987659
|
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: Ben Lester | Statement: [The Girl, editor, Ben Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Lester Context triple: [The Girl, editor, Ben Lester]
-
A.
Ben Lester
chosen
Ben Lester is a film and television editor known for his work on projects such as the 2012 television film "The Girl."
-
B.
Jon Lovett
Jon Lovett is an American podcaster, comedian, and former speechwriter best known as a co-founder and host of the political podcast network Crooked Media and its flagship show "Pod Save America."
-
C.
Ben Spencer
Ben Spencer is a British Conservative Party politician and psychiatrist who serves as the Member of Parliament for Runnymede and Weybridge.
-
D.
Ben Elliot
Ben Elliot is a British Conservative Party politician and businessman who served as Co-Chairman of the Conservative Party and is known for his influential role in political fundraising.
-
E.
Jono Lancaster
Jono Lancaster is a British motivational speaker and advocate known for raising awareness about Treacher Collins syndrome and promoting acceptance of facial differences.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cea5d348190a84970da131292ee |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.