Triple
T11329319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abominable |
E268300
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Pam Ziegenhagen |
E684516
|
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 Ziegenhagen | Statement: [Abominable, editedBy, Pam Ziegenhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Ziegenhagen Context triple: [Abominable, editedBy, Pam Ziegenhagen]
-
A.
Pamela Ziegenhagen-Shefland
chosen
Pamela Ziegenhagen-Shefland is a film editor known for her work on animated features, including Disney’s "Mickey, Donald, Goofy: The Three Musketeers."
-
B.
Pam Burkhart
Pam Burkhart is a fictional character from the television sitcom "That '70s Show," known primarily as the mother of Jackie Burkhart.
-
C.
Linda Staab
Linda Staab is an American actress best known as the longtime wife of actor Robert Vaughn.
-
D.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
E.
Anne Ziegler
Anne Ziegler was a British soprano and actress best known for her popular duets and stage performances with her husband, tenor Webster Booth, during the mid-20th century.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739644ed48190896d7b2b6c3b5f8f |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.