Triple
T3757959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Darkest Hour |
E82092
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Chris Gorak
Chris Gorak is an American film director and screenwriter known for his work in science fiction and thriller genres.
|
E390789
|
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 Gorak | Statement: [The Darkest Hour, director, Chris Gorak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Gorak Context triple: [The Darkest Hour, director, Chris Gorak]
-
A.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
B.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
C.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
-
D.
Kevin Griswold
Kevin Griswold is a character in the 2015 comedy film "Vacation," appearing as a member of the extended Griswold family in the franchise’s reboot.
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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 Gorak Triple: [The Darkest Hour, director, Chris Gorak]
Generated description
Chris Gorak is an American film director and screenwriter known for his work in science fiction and thriller genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Gorak Target entity description: Chris Gorak is an American film director and screenwriter known for his work in science fiction and thriller genres.
-
A.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
B.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
C.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
-
D.
Kevin Griswold
Kevin Griswold is a character in the 2015 comedy film "Vacation," appearing as a member of the extended Griswold family in the franchise’s reboot.
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb0fc6248190b2f4adf3fd2d73d9 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc9107fc81908805740b98c7ae3e |
completed | March 14, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fced2620819083ab1e75393ba2ba |
completed | March 14, 2026, 6:15 a.m. |
Created at: March 8, 2026, 3:35 p.m.