Triple
T12425047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unfaithfully Yours |
E296874
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Max Stein |
E224186
|
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: Max Stein | Statement: [Unfaithfully Yours, character, Max Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Stein Context triple: [Unfaithfully Yours, character, Max Stein]
-
A.
Michael Stein
Michael Stein is an American musician and composer best known for co-creating the synth-driven score for the hit Netflix series "Stranger Things" as part of the electronic band Survive.
-
B.
Philip Stein
Philip Stein is a brand best known for its luxury wristwatches and lifestyle accessories that incorporate wellness-focused technologies.
-
C.
Max Steinberg
Max Steinberg is an American professional poker player known for his success in World Series of Poker events, including winning a WSOP bracelet.
-
D.
George Kirstein
George Kirstein was an American publisher and civil liberties advocate, best known as the longtime publisher of The Nation magazine.
-
E.
Harry Kurnitz
chosen
Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0265fc81909a6288d11b78c2f9 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.