Triple
T9839708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hard Way |
E239189
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
John Moss
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
|
E825466
|
NE FINISHED |
How this triple was built (4 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: John Moss | Statement: [The Hard Way, character, John Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Moss Context triple: [The Hard Way, character, John Moss]
-
A.
Johnny Moss
Johnny Moss was an American professional poker player widely regarded as one of the greatest early champions in World Series of Poker history.
-
B.
William Moss
William Moss is known primarily as the husband of American dancer and actress Ann Miller.
-
C.
Frank Mitchell
Frank Mitchell is a central father figure on the 1990s sitcom "Moesha," known for his strict but caring parenting style and frequent clashes with his teenage daughter.
-
D.
Frank Mitchell
Frank Mitchell is a fictional character from the British soap opera "EastEnders," known as the husband of Dee Mitchell and a member of the Mitchell family.
-
E.
John Fagan
John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Moss Triple: [The Hard Way, character, John Moss]
Generated description
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Moss Target entity description: John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
-
A.
Johnny Moss
Johnny Moss was an American professional poker player widely regarded as one of the greatest early champions in World Series of Poker history.
-
B.
William Moss
William Moss is known primarily as the husband of American dancer and actress Ann Miller.
-
C.
Frank Mitchell
Frank Mitchell is a central father figure on the 1990s sitcom "Moesha," known for his strict but caring parenting style and frequent clashes with his teenage daughter.
-
D.
Frank Mitchell
Frank Mitchell is a fictional character from the British soap opera "EastEnders," known as the husband of Dee Mitchell and a member of the Mitchell family.
-
E.
John Fagan
John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
- F. None of above. chosen
Provenance (5 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d5484c8190a78ccd0e9816ba51 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d9c17a308190818dd21e7e53af9d |
completed | April 5, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1da4ee3588190aa46d2eeffd0eabd |
completed | April 5, 2026, 3:43 a.m. |
Created at: March 30, 2026, 8:33 p.m.