Triple
T14752083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Factory Girl |
E346634
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Shawn Hatosy |
E259267
|
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: Shawn Hatosy | Statement: [Factory Girl, castMember, Shawn Hatosy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shawn Hatosy Context triple: [Factory Girl, castMember, Shawn Hatosy]
-
A.
Shawn Hatosy
chosen
Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
-
B.
Shawn Eichman
Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
-
C.
Shane Boris
Shane Boris is an Academy Award–winning American film producer known for his work on acclaimed documentaries such as "Navalny."
-
D.
Shawn Matthews
Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
-
E.
Shawn Roberts
Shawn Roberts is a Canadian actor best known for his role as Albert Wesker in the Resident Evil film series.
- 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.