Triple
T17008992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Marks |
E412647
|
entity |
| Predicate | nameUsedIn |
P13305
|
FINISHED |
| Object | Marks (surname) |
E87869
|
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: Marks (surname) | Statement: [Shawn Marks, nameUsedIn, Marks (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marks (surname) Context triple: [Shawn Marks, nameUsedIn, Marks (surname)]
-
A.
Marks
chosen
Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Mark's
Mark's is a Canadian retail chain specializing in casual and workwear clothing, footwear, and accessories.
-
C.
Mark
Mark is the first name of Mark Cuban, the American billionaire entrepreneur and owner of the NBA’s Dallas Mavericks.
-
D.
Mark
Mark is one of the four canonical Gospels in the New Testament, traditionally attributed to John Mark and known for its concise, fast-paced account of the life, ministry, death, and resurrection of Jesus Christ.
-
E.
Mark
Mark is a character in the horror film "Midsommar," one of the American friends who travels to a remote Swedish commune and becomes entangled in its disturbing pagan rituals.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3853f548190910240a2145cc890 |
completed | April 18, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc222d108190934ef2b3aa46aa22 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.