Triple
T12683424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Machine |
E303003
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Emory Cohen
Emory Cohen is an American actor known for his roles in films such as "Brooklyn," "The Place Beyond the Pines," and "War Machine."
|
E997237
|
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: Emory Cohen | Statement: [War Machine, starring, Emory Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emory Cohen Context triple: [War Machine, starring, Emory Cohen]
-
A.
Felix Cohen
Felix Cohen was an influential American legal philosopher and scholar known for advancing legal realism and critiquing formalistic approaches to law.
-
B.
Samuel Cohen
Samuel Cohen was a composer best known for writing the melody that became associated with the Zionist anthem "Hatikvah."
-
C.
Samuel Cohen
Samuel Cohen, better known as Sammy Cahn, was an American lyricist renowned for his Academy Award–winning songs and collaborations with artists like Frank Sinatra.
-
D.
Arthur Cohn
Arthur Cohn is a Swiss film producer renowned for his multiple Academy Award–winning independent and international films.
-
E.
Isaac Ehrlich
Isaac Ehrlich is an economist known for his work on the economic analysis of crime, deterrence, and the death penalty.
- 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: Emory Cohen Triple: [War Machine, starring, Emory Cohen]
Generated description
Emory Cohen is an American actor known for his roles in films such as "Brooklyn," "The Place Beyond the Pines," and "War Machine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emory Cohen Target entity description: Emory Cohen is an American actor known for his roles in films such as "Brooklyn," "The Place Beyond the Pines," and "War Machine."
-
A.
Felix Cohen
Felix Cohen was an influential American legal philosopher and scholar known for advancing legal realism and critiquing formalistic approaches to law.
-
B.
Samuel Cohen
Samuel Cohen was a composer best known for writing the melody that became associated with the Zionist anthem "Hatikvah."
-
C.
Samuel Cohen
Samuel Cohen, better known as Sammy Cahn, was an American lyricist renowned for his Academy Award–winning songs and collaborations with artists like Frank Sinatra.
-
D.
Arthur Cohn
Arthur Cohn is a Swiss film producer renowned for his multiple Academy Award–winning independent and international films.
-
E.
Isaac Ehrlich
Isaac Ehrlich is an economist known for his work on the economic analysis of crime, deterrence, and the death penalty.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:21 p.m.