Triple
T7376189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebon Moss-Bachrach |
E170128
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Road
"Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
|
E659953
|
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: Road | Statement: [Ebon Moss-Bachrach, notableWork, Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Road Context triple: [Ebon Moss-Bachrach, notableWork, Road]
-
A.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
B.
Highway
"Highway" is a 2014 Indian Hindi-language road drama film directed by Imtiaz Ali, for which A. R. Rahman composed the acclaimed soundtrack.
-
C.
Layer Road
Layer Road was a historic football ground in Colchester, England, best known as the long-time home of Colchester United before the club moved to a new stadium.
-
D.
Way
Way is a surname most notably borne by English actor and writer Tony Way, known for his roles in film and television comedies and dramas.
-
E.
Battle Road
Battle Road is a historic route in Massachusetts that was central to the opening battles of the American Revolutionary War, particularly the engagements at Lexington and Concord.
- 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: Road Triple: [Ebon Moss-Bachrach, notableWork, Road]
Generated description
"Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Road Target entity description: "Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
-
A.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
B.
Highway
"Highway" is a 2014 Indian Hindi-language road drama film directed by Imtiaz Ali, for which A. R. Rahman composed the acclaimed soundtrack.
-
C.
Layer Road
Layer Road was a historic football ground in Colchester, England, best known as the long-time home of Colchester United before the club moved to a new stadium.
-
D.
Way
Way is a surname most notably borne by English actor and writer Tony Way, known for his roles in film and television comedies and dramas.
-
E.
Battle Road
Battle Road is a historic route in Massachusetts that was central to the opening battles of the American Revolutionary War, particularly the engagements at Lexington and Concord.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d15a8481908e43701459607276 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803ad72308190a9640f2fb043daab |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8043121988190b7c9ea0f786296c2 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.