Triple
T20645621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Station Agent |
E507346
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Joe Oramas
Joe Oramas is a friendly, talkative hot dog vendor who befriends the reclusive protagonist in the indie film "The Station Agent."
|
E1442580
|
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: Joe Oramas | Statement: [The Station Agent, mainCharacter, Joe Oramas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Oramas Context triple: [The Station Agent, mainCharacter, Joe Oramas]
-
A.
Joe Oros
Joe Oros was an American automobile designer best known for leading the design team that created the original Ford Mustang.
-
B.
Don Orsillo
Don Orsillo is an American sportscaster best known as a longtime play-by-play announcer for Major League Baseball broadcasts, particularly for the Boston Red Sox and later the San Diego Padres.
-
C.
Nick O'Brien
Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
-
D.
Joe Corallo
Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
-
E.
Peter O’Neill
Peter O’Neill is a Papua New Guinean politician who served as Prime Minister of Papua New Guinea from 2011 to 2019.
- 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: Joe Oramas Triple: [The Station Agent, mainCharacter, Joe Oramas]
Generated description
Joe Oramas is a friendly, talkative hot dog vendor who befriends the reclusive protagonist in the indie film "The Station Agent."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Oramas Target entity description: Joe Oramas is a friendly, talkative hot dog vendor who befriends the reclusive protagonist in the indie film "The Station Agent."
-
A.
Joe Oros
Joe Oros was an American automobile designer best known for leading the design team that created the original Ford Mustang.
-
B.
Don Orsillo
Don Orsillo is an American sportscaster best known as a longtime play-by-play announcer for Major League Baseball broadcasts, particularly for the Boston Red Sox and later the San Diego Padres.
-
C.
Nick O'Brien
Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
-
D.
Joe Corallo
Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
-
E.
Peter O’Neill
Peter O’Neill is a Papua New Guinean politician who served as Prime Minister of Papua New Guinea from 2011 to 2019.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c58e9b0081908fd2c4f3d8022401 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c65993408190859c75fb65ade257 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c78fe4d48190a7a69f65f64ac66c |
completed | May 16, 2026, 7:37 p.m. |
Created at: April 16, 2026, 11:43 a.m.