Triple
T5588847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Bud |
E146825
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Alison Grace
Alison Grace is a film editor best known for her work on the family sports movie "Air Bud."
|
E536697
|
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: Alison Grace | Statement: [Air Bud, editedBy, Alison Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Grace Context triple: [Air Bud, editedBy, Alison Grace]
-
A.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
B.
Alison Arngrim
Alison Arngrim is an American actress and author best known for her iconic portrayal of the scheming Nellie Oleson on the classic television series "Little House on the Prairie."
-
C.
Alison Berns
Alison Berns is an American former actress and media personality best known as the longtime wife of radio host Howard Stern, with whom she frequently appeared on his early shows.
-
D.
Alison Porter
Alison Porter is a central character in John Osborne’s play "Look Back in Anger," portrayed as the emotionally conflicted and long-suffering wife of the protagonist, Jimmy Porter.
-
E.
Alison Owen
Alison Owen is a British film producer known for acclaimed works such as "Elizabeth," "Shaun of the Dead," and "Saving Mr. Banks."
- 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: Alison Grace Triple: [Air Bud, editedBy, Alison Grace]
Generated description
Alison Grace is a film editor best known for her work on the family sports movie "Air Bud."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alison Grace Target entity description: Alison Grace is a film editor best known for her work on the family sports movie "Air Bud."
-
A.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
B.
Alison Arngrim
Alison Arngrim is an American actress and author best known for her iconic portrayal of the scheming Nellie Oleson on the classic television series "Little House on the Prairie."
-
C.
Alison Berns
Alison Berns is an American former actress and media personality best known as the longtime wife of radio host Howard Stern, with whom she frequently appeared on his early shows.
-
D.
Alison Porter
Alison Porter is a central character in John Osborne’s play "Look Back in Anger," portrayed as the emotionally conflicted and long-suffering wife of the protagonist, Jimmy Porter.
-
E.
Alison Owen
Alison Owen is a British film producer known for acclaimed works such as "Elizabeth," "Shaun of the Dead," and "Saving Mr. Banks."
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2f8710819094f5d052b767b9a6 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e88680c8190845723f52c060fb7 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7856848190a835c3ee0a32f649 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:38 p.m.