Triple
T18820982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mexican |
E460261
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Samantha Barzel |
—
|
NE NERFINISHED |
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: Samantha Barzel | Statement: [The Mexican, mainCharacter, Samantha Barzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Barzel Context triple: [The Mexican, mainCharacter, Samantha Barzel]
-
A.
Samantha Barzel
chosen
Samantha Barzel is a central character in the crime-comedy film "The Mexican," involved in the chaotic and darkly humorous events surrounding a legendary cursed pistol.
-
B.
Samantha Nisenboim
Samantha Nisenboim is a film producer known for her work on the 2023 horror-comedy movie "Renfield."
-
C.
Samantha Busch
Samantha Busch is an American lifestyle blogger, entrepreneur, and infertility awareness advocate best known for her public presence alongside NASCAR driver Kyle Busch.
-
D.
Samantha Isler
Samantha Isler is an American actress best known for her roles in film and television, including a prominent part in the drama-comedy "Captain Fantastic."
-
E.
Samantha Strauss
Samantha Strauss is an Australian screenwriter and producer best known for creating the TV series "Dance Academy" and working on various acclaimed drama projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.