Triple
T4253895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Harrington |
E95924
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Joey
Joey is the nickname of Joey Harrington, a former American football quarterback best known for his college career at the University of Oregon and his time in the NFL.
|
E424325
|
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: Joey | Statement: [Joey Harrington, nickname, Joey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Context triple: [Joey Harrington, nickname, Joey]
-
A.
Joey
Joey is the courageous farm horse at the heart of Michael Morpurgo’s novel and its adaptations, whose journey through World War I drives the emotional core of War Horse.
-
B.
Joey
Joey is the nickname of Joey Cora, a former Major League Baseball second baseman and coach known for his time with teams like the Chicago White Sox and Seattle Mariners.
-
C.
Joey
Joey is an American sitcom that serves as a spin-off of Friends, following the character Joey Tribbiani as he pursues his acting career in Los Angeles.
-
D.
Joey DeLuca
Joey DeLuca is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties."
-
E.
Joey Curtis
Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
- 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: Joey Triple: [Joey Harrington, nickname, Joey]
Generated description
Joey is the nickname of Joey Harrington, a former American football quarterback best known for his college career at the University of Oregon and his time in the NFL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joey Target entity description: Joey is the nickname of Joey Harrington, a former American football quarterback best known for his college career at the University of Oregon and his time in the NFL.
-
A.
Joey
Joey is the courageous farm horse at the heart of Michael Morpurgo’s novel and its adaptations, whose journey through World War I drives the emotional core of War Horse.
-
B.
Joey
Joey is the nickname of Joey Cora, a former Major League Baseball second baseman and coach known for his time with teams like the Chicago White Sox and Seattle Mariners.
-
C.
Joey
Joey is an American sitcom that serves as a spin-off of Friends, following the character Joey Tribbiani as he pursues his acting career in Los Angeles.
-
D.
Joey DeLuca
Joey DeLuca is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties."
-
E.
Joey Curtis
Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ebe6fbc8190a89269b478b3f435 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a8ffd4508190b33117d3fc963b3d |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9754d5c8190b1ab724a4758c22a |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.