Triple
T3621977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Wedding |
E76746
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Pam Dawber
Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
|
E373010
|
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: Pam Dawber | Statement: [A Wedding, hasCastMember, Pam Dawber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Dawber Context triple: [A Wedding, hasCastMember, Pam Dawber]
-
A.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
B.
Julie Kavner
Julie Kavner is an American actress and voice actress best known for voicing Marge Simpson and other characters on the long-running animated television series "The Simpsons."
-
C.
Laraine Newman
Laraine Newman is an American comedian and actress best known as one of the original cast members of Saturday Night Live in the 1970s.
-
D.
Mary Lynn Rajskub
Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
-
E.
Annie Potts
Annie Potts is an American actress best known for her roles in films like "Ghostbusters" and "Pretty in Pink" and for voicing Bo Peep in the "Toy Story" animated franchise.
- 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: Pam Dawber Triple: [A Wedding, hasCastMember, Pam Dawber]
Generated description
Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pam Dawber Target entity description: Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
-
A.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
B.
Julie Kavner
Julie Kavner is an American actress and voice actress best known for voicing Marge Simpson and other characters on the long-running animated television series "The Simpsons."
-
C.
Laraine Newman
Laraine Newman is an American comedian and actress best known as one of the original cast members of Saturday Night Live in the 1970s.
-
D.
Mary Lynn Rajskub
Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
-
E.
Annie Potts
Annie Potts is an American actress best known for her roles in films like "Ghostbusters" and "Pretty in Pink" and for voicing Bo Peep in the "Toy Story" animated franchise.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b436140e9c81909c0616e6fce36c2b |
completed | March 13, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b439c83580819091024e692847a7db |
completed | March 13, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:23 p.m.