Triple
T22176302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The X-Men #1 |
E548059
|
entity |
| Predicate | letterer |
P36863
|
FINISHED |
| Object | Sam Rosen |
—
|
NE NERFINISHED |
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: Sam Rosen | Statement: [The X-Men #1, letterer, Sam Rosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Rosen Context triple: [The X-Men #1, letterer, Sam Rosen]
-
A.
Sam Rosen
chosen
Sam Rosen was a prolific American comic book letterer best known for his extensive work at Marvel Comics during the Silver Age.
-
B.
Sam Rosen
Sam Rosen is a veteran American sportscaster best known as the longtime television play-by-play announcer for the NHL’s New York Rangers.
-
C.
Phil Rosen
Phil Rosen was an early 20th-century American film director and cinematographer who helped shape the development of Hollywood’s visual style.
-
D.
Jac Holzman
Jac Holzman is an American music industry executive best known as the founder of Elektra Records and a pioneering figure in the development of the modern record label.
-
E.
Lew Klein
Lew Klein was an influential American television executive, producer, and educator who helped shape local TV news and mentored generations of broadcast journalists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6c40988190ba52ea46079eb306 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.