Triple
T9839707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hard Way |
E239189
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Nick Lang
Nick Lang is a fictional, pampered Hollywood action-movie star who shadows a real New York City detective to prepare for a gritty role in the 1991 film "The Hard Way."
|
E825465
|
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: Nick Lang | Statement: [The Hard Way, character, Nick Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Lang Context triple: [The Hard Way, character, Nick Lang]
-
A.
Neal Lang
Neal Lang was the husband of American comic actress and singer Martha Raye.
-
B.
Keith Langford
Keith Langford is an American former professional basketball guard best known for his standout college career at the University of Kansas and a long, high-scoring career in European leagues.
-
C.
Mike Lange
Mike Lange is a musician best known as a member of the Celtic rock band O'Malley's March.
-
D.
Neal Marlens
Neal Marlens is an American television producer and writer best known for co-creating the acclaimed coming-of-age series "The Wonder Years."
-
E.
Nick Gall
Nick Gall is a computer scientist and entrepreneur best known as one of the founders of the pioneering Lisp machine company Symbolics.
- 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: Nick Lang Triple: [The Hard Way, character, Nick Lang]
Generated description
Nick Lang is a fictional, pampered Hollywood action-movie star who shadows a real New York City detective to prepare for a gritty role in the 1991 film "The Hard Way."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Lang Target entity description: Nick Lang is a fictional, pampered Hollywood action-movie star who shadows a real New York City detective to prepare for a gritty role in the 1991 film "The Hard Way."
-
A.
Neal Lang
Neal Lang was the husband of American comic actress and singer Martha Raye.
-
B.
Keith Langford
Keith Langford is an American former professional basketball guard best known for his standout college career at the University of Kansas and a long, high-scoring career in European leagues.
-
C.
Mike Lange
Mike Lange is a musician best known as a member of the Celtic rock band O'Malley's March.
-
D.
Neal Marlens
Neal Marlens is an American television producer and writer best known for co-creating the acclaimed coming-of-age series "The Wonder Years."
-
E.
Nick Gall
Nick Gall is a computer scientist and entrepreneur best known as one of the founders of the pioneering Lisp machine company Symbolics.
- 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.