Triple
T10845293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well |
E255994
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Samantha Lang |
E889613
|
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 Lang | Statement: [The Well, screenwriter, Samantha Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Lang Context triple: [The Well, screenwriter, Samantha Lang]
-
A.
Samantha Lang
chosen
Samantha Lang is an Australian film director known for her visually distinctive, psychologically rich dramas, including the feature film "The Well."
-
B.
Samantha Logan
Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
-
C.
Samantha Caine
Samantha Caine is the amnesiac suburban schoolteacher who gradually uncovers her past as a lethal government assassin in the action thriller "The Long Kiss Goodnight."
-
D.
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.
-
E.
Samantha
Samantha is a feminine given name of Aramaic origin meaning "listener" or "heard by God," widely used in English-speaking countries.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ca05788190aff4f34084499ba6 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:19 p.m.