Triple
T21336491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Hellinger |
E526061
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Hellinger |
—
|
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: Mark Hellinger | Statement: [Mark Hellinger, name, Mark Hellinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Hellinger Context triple: [Mark Hellinger, name, Mark Hellinger]
-
A.
Mark Hellinger
chosen
Mark Hellinger was an American journalist, short story writer, and film producer best known for his gritty, humanistic crime dramas in Hollywood’s classic era.
-
B.
Jason Hellmann
Jason Hellmann is a film editor known for his work on the survival thriller movie "The Grey."
-
C.
Klaus Heissler
Klaus Heissler is a talking goldfish with the brain of an East German Olympic ski jumper, serving as a comedic and often sarcastic member of the Smith family in the animated series "American Dad!".
-
D.
Richard Hellmann
Richard Hellmann was a German-born New York deli owner and food entrepreneur best known for creating the Hellmann's mayonnaise brand in the early 20th century.
-
E.
Richard Ottinger
Richard Ottinger is an American lawyer and former Democratic congressman from New York known for his work on environmental and energy policy.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d7d8b88190b2f346e4592b3bc5 |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:43 p.m.