Triple
T5018625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litchfield Penitentiary |
E112794
|
entity |
| Predicate | hasFictionalInmate |
P48975
|
FINISHED |
| Object | Alex Vause |
E128912
|
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: Alex Vause | Statement: [Litchfield Penitentiary, hasFictionalInmate, Alex Vause]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Vause Context triple: [Litchfield Penitentiary, hasFictionalInmate, Alex Vause]
-
A.
Alex Vause
chosen
Alex Vause is a central character in the television series "Orange Is the New Black," known as a sharp-witted, morally ambiguous drug smuggler and the on-and-off love interest of Piper Chapman.
-
B.
Chandler Belfort
Chandler Belfort is the daughter of former stockbroker and author Jordan Belfort, who is widely known as the "Wolf of Wall Street."
-
C.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
-
D.
Jeremy Spenser
Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
-
E.
Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927bdfa481908a5face7b4fd7058 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:35 p.m.