Triple
T7675819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald’s |
E173856
|
entity |
| Predicate | hasMenuItem |
P19940
|
FINISHED |
| Object |
Filet-O-Fish
Filet-O-Fish is a popular McDonald’s sandwich featuring a breaded fish patty, tartar sauce, and a steamed bun, often associated with Lent-friendly fast-food options.
|
E681576
|
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: Filet-O-Fish | Statement: [McDonald’s, hasMenuItem, Filet-O-Fish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filet-O-Fish Context triple: [McDonald’s, hasMenuItem, Filet-O-Fish]
-
A.
Shaved Fish
Shaved Fish is a 1975 compilation album by John Lennon that collects many of his most notable solo singles from the early 1970s.
-
B.
Hammon
Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
-
C.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
D.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
E.
Quorn
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
- 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: Filet-O-Fish Triple: [McDonald’s, hasMenuItem, Filet-O-Fish]
Generated description
Filet-O-Fish is a popular McDonald’s sandwich featuring a breaded fish patty, tartar sauce, and a steamed bun, often associated with Lent-friendly fast-food options.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Filet-O-Fish Target entity description: Filet-O-Fish is a popular McDonald’s sandwich featuring a breaded fish patty, tartar sauce, and a steamed bun, often associated with Lent-friendly fast-food options.
-
A.
Shaved Fish
Shaved Fish is a 1975 compilation album by John Lennon that collects many of his most notable solo singles from the early 1970s.
-
B.
Hammon
Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
-
C.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
D.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
E.
Quorn
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e333f08190a9ee87080c6d0118 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a23ba62881908fcdcf2ffcf6d41d |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a49262ec81908f3b45031994d128 |
completed | March 29, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a50df2a88190b5f7db0afea96fc3 |
completed | March 29, 2026, 4:05 a.m. |
Created at: March 27, 2026, 4:01 p.m.