Triple
T15914876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Johnson |
E385942
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Eddie Garrett
Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
|
E1182287
|
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: Eddie Garrett | Statement: [Jake Johnson, characterPortrayed, Eddie Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Garrett Context triple: [Jake Johnson, characterPortrayed, Eddie Garrett]
-
A.
Eddie Holbrook
Eddie Holbrook is an American politician who served as a member of the North Carolina Senate and was known for his involvement in state and local government.
-
B.
Eddie Dyer
Eddie Dyer was an American Major League Baseball manager and former player best known for leading the St. Louis Cardinals to a championship in the mid-1940s.
-
C.
Eddy Mitchell
Eddy Mitchell is a French singer, actor, and former rock and roll icon known for his long music career and numerous film roles.
-
D.
Eddie Garr
Eddie Garr was an American actor and comedian best known as the father of actress Teri Garr.
-
E.
John LeMay
John LeMay is a relatively obscure individual whose primary distinguishing feature in this context is simply being a notable bearer of the surname LeMay.
- 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: Eddie Garrett Triple: [Jake Johnson, characterPortrayed, Eddie Garrett]
Generated description
Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eddie Garrett Target entity description: Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
-
A.
Eddie Holbrook
Eddie Holbrook is an American politician who served as a member of the North Carolina Senate and was known for his involvement in state and local government.
-
B.
Eddie Dyer
Eddie Dyer was an American Major League Baseball manager and former player best known for leading the St. Louis Cardinals to a championship in the mid-1940s.
-
C.
Eddy Mitchell
Eddy Mitchell is a French singer, actor, and former rock and roll icon known for his long music career and numerous film roles.
-
D.
Eddie Garr
Eddie Garr was an American actor and comedian best known as the father of actress Teri Garr.
-
E.
John LeMay
John LeMay is a relatively obscure individual whose primary distinguishing feature in this context is simply being a notable bearer of the surname LeMay.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1566216d481908dd6e3acaa26fd45 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0cfac808190b32bb25659603fb4 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb15b987c8190ae9c96f15fc55b27 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.