Triple
T9682758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Cohen |
E234325
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Samantha |
E545917
|
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: Samantha | Statement: [Samantha Cohen, givenName, Samantha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Context triple: [Samantha Cohen, givenName, Samantha]
-
A.
Samantha
Samantha is a central character in the psychological thriller film "Enter Nowhere," where she becomes trapped in a mysterious cabin in the woods alongside two strangers as they unravel a time-bending mystery.
-
B.
Samantha
chosen
Samantha is a feminine given name of Aramaic origin meaning "listener" or "heard by God," widely used in English-speaking countries.
-
C.
Samantha
Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
-
D.
Samantha
Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
-
E.
Sammie
Sammie is a given name or nickname commonly used as a variant of the name Sam.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccdbcc48190a4a9a70b3f419ac2 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910192e88190b10409ae62c1c948 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.