Triple
T9970066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy and Lucy |
E196180
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
|
E834379
|
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: Wally Dalton | Statement: [Wendy and Lucy, mainCastMember, Wally Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Dalton Context triple: [Wendy and Lucy, mainCastMember, Wally Dalton]
-
A.
Wally Holbrook
Wally Holbrook is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Holbrook.
-
B.
Wally Walker
Wally Walker is a former American professional basketball player best known for his role as a key contributor to the Seattle SuperSonics during their late-1970s championship run and later as an NBA executive.
-
C.
Jimmy Wakely
Jimmy Wakely was an American country singer, songwriter, and film actor known as one of the most popular singing cowboys of the 1940s and 1950s.
-
D.
Wally Romanes
Wally Romanes is a mountaineer known for being part of the team that made the first ascent of the Himalayan peak Thamserku.
-
E.
Wally Cassell
Wally Cassell was an Italian-born American character actor known for his supporting roles in numerous Hollywood films of the 1940s and 1950s.
- 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: Wally Dalton Triple: [Wendy and Lucy, mainCastMember, Wally Dalton]
Generated description
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Dalton Target entity description: Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
A.
Wally Holbrook
Wally Holbrook is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Holbrook.
-
B.
Wally Walker
Wally Walker is a former American professional basketball player best known for his role as a key contributor to the Seattle SuperSonics during their late-1970s championship run and later as an NBA executive.
-
C.
Jimmy Wakely
Jimmy Wakely was an American country singer, songwriter, and film actor known as one of the most popular singing cowboys of the 1940s and 1950s.
-
D.
Wally Romanes
Wally Romanes is a mountaineer known for being part of the team that made the first ascent of the Himalayan peak Thamserku.
-
E.
Wally Cassell
Wally Cassell was an Italian-born American character actor known for his supporting roles in numerous Hollywood films of the 1940s and 1950s.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257c002cc8190becc9730b2c01782 |
completed | April 5, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69d2594b5e5081908f7cc4af4d10b4a8 |
completed | April 5, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a30ad98819084dcd305e709c34d |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:48 p.m.