Triple
T14959007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Dawber |
E373010
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pam Dawber |
E373010
|
NE FINISHED |
How this triple was built (2 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: [Pam Dawber, name, Pam Dawber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Dawber Context triple: [Pam Dawber, name, Pam Dawber]
-
A.
Pam Dawber
chosen
Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
-
B.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
C.
Cindy Williams
Cindy Williams is a fictional character from the British soap opera "EastEnders," known for her tumultuous relationships and connections to the Beale family.
-
D.
Eve Plumb
Eve Plumb is an American actress best known for playing middle daughter Jan Brady on the classic television sitcom "The Brady Bunch."
-
E.
Julie Rogers
Julie Rogers is a film editor known for her work on the animated sequel "Cinderella II: Dreams Come True."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bda691481909c2d89a362782ed8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.