Triple
T15308719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kill the Messenger |
E365971
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Gabe Rhodes
Gabe Rhodes is a film editor known for his work on documentaries, including the feature "Kill the Messenger."
|
E1149605
|
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: Gabe Rhodes | Statement: [Kill the Messenger, editedBy, Gabe Rhodes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Rhodes Context triple: [Kill the Messenger, editedBy, Gabe Rhodes]
-
A.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
B.
Gabe Nevins
Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
-
C.
Gabe Burton
Gabe Burton is the young protagonist of the romantic comedy film "Little Manhattan," experiencing his first love in New York City.
-
D.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
E.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
- 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: Gabe Rhodes Triple: [Kill the Messenger, editedBy, Gabe Rhodes]
Generated description
Gabe Rhodes is a film editor known for his work on documentaries, including the feature "Kill the Messenger."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabe Rhodes Target entity description: Gabe Rhodes is a film editor known for his work on documentaries, including the feature "Kill the Messenger."
-
A.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
B.
Gabe Nevins
Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
-
C.
Gabe Burton
Gabe Burton is the young protagonist of the romantic comedy film "Little Manhattan," experiencing his first love in New York City.
-
D.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
E.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89feda88190b18f6a03d6e968aa |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa13e8508190930a22439b7f154a |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa80be14819089e87e7bdb3af7ec |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.