Triple
T4197814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloverfield |
E85995
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Kevin Stitt
Kevin Stitt is a film editor known for his work on major Hollywood productions, including the science-fiction monster movie "Cloverfield."
|
E224770
|
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: Kevin Stitt | Statement: [Cloverfield, editedBy, Kevin Stitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Stitt Context triple: [Cloverfield, editedBy, Kevin Stitt]
-
A.
Kevin Stitt
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
-
B.
Markwayne Mullin
Markwayne Mullin is a Republican politician and former U.S. Representative from Oklahoma who now serves as a U.S. Senator for the state.
-
C.
Mark Brnovich
Mark Brnovich is an American attorney and Republican politician who served as the Attorney General of Arizona.
-
D.
Sam Brownback
Sam Brownback is an American Republican politician and former governor of Kansas who also served in both the U.S. House of Representatives and the U.S. Senate.
-
E.
Brian Whitmer
Brian Whitmer is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
- 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: Kevin Stitt Triple: [Cloverfield, editedBy, Kevin Stitt]
Generated description
Kevin Stitt is a film editor known for his work on major Hollywood productions, including the science-fiction monster movie "Cloverfield."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Stitt Target entity description: Kevin Stitt is a film editor known for his work on major Hollywood productions, including the science-fiction monster movie "Cloverfield."
-
A.
Kevin Stitt
chosen
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
-
B.
Markwayne Mullin
Markwayne Mullin is a Republican politician and former U.S. Representative from Oklahoma who now serves as a U.S. Senator for the state.
-
C.
Mark Brnovich
Mark Brnovich is an American attorney and Republican politician who served as the Attorney General of Arizona.
-
D.
Sam Brownback
Sam Brownback is an American Republican politician and former governor of Kansas who also served in both the U.S. House of Representatives and the U.S. Senate.
-
E.
Brian Whitmer
Brian Whitmer is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
- F. None of above.
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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0360bc8081908ceb2483eef89174 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0ff2a08190ac7f89d306454ab8 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58aa95428819085048691c77e2aea |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b34c4e881909fd44fbe8acedda4 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:48 p.m.