Triple
T15190863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Back Down |
E363005
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Chris Hauty
Chris Hauty is an American screenwriter and novelist best known for his work on action films and political thrillers.
|
E1141866
|
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: Chris Hauty | Statement: [Never Back Down, writer, Chris Hauty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Hauty Context triple: [Never Back Down, writer, Chris Hauty]
-
A.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
B.
Larry Stenger
Larry Stenger is one of the original founders associated with the early formation of semiconductor company Advanced Micro Devices (AMD).
-
C.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
D.
Michael Goulian
Michael Goulian is an American aerobatic champion and airshow performer best known for competing at the highest level in international air racing events.
-
E.
Mark P. McCahill
Mark P. McCahill is an American computer scientist best known for pioneering early internet technologies, including creating the Gopher protocol for distributed document search and retrieval.
- 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: Chris Hauty Triple: [Never Back Down, writer, Chris Hauty]
Generated description
Chris Hauty is an American screenwriter and novelist best known for his work on action films and political thrillers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Hauty Target entity description: Chris Hauty is an American screenwriter and novelist best known for his work on action films and political thrillers.
-
A.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
B.
Larry Stenger
Larry Stenger is one of the original founders associated with the early formation of semiconductor company Advanced Micro Devices (AMD).
-
C.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
D.
Michael Goulian
Michael Goulian is an American aerobatic champion and airshow performer best known for competing at the highest level in international air racing events.
-
E.
Mark P. McCahill
Mark P. McCahill is an American computer scientist best known for pioneering early internet technologies, including creating the Gopher protocol for distributed document search and retrieval.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89797ac819090fb68bb5f2fad5c |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:10 a.m.