Triple
T4262780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Aberlin |
E96141
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Betty Aberlin |
E425851
|
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: Betty Aberlin | Statement: [Lady Aberlin, basedOn, Betty Aberlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Aberlin Context triple: [Lady Aberlin, basedOn, Betty Aberlin]
-
A.
Betty Aberlin
chosen
Betty Aberlin is an American actress and writer best known for her long-running role as Lady Aberlin on the children's television series "Mister Rogers' Neighborhood."
-
B.
Schuyler Weiss
Schuyler Weiss is a film producer known for his work on the 2022 biographical musical drama "Elvis."
-
C.
Cady Heron
Cady Heron is the naive, homeschooled teenager who becomes entangled in high school cliques and social politics in the teen comedy film "Mean Girls."
-
D.
Cady Groves
Cady Groves was an American singer-songwriter known for her emotionally candid pop and country-influenced songs released in the late 2000s and 2010s.
-
E.
Kay Chandler
Kay Chandler is a central character in the romantic drama film "Random Hearts," portrayed as a composed and principled congresswoman whose life is upended by a personal tragedy.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c718a3188190851735afc3aa033f |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:06 p.m.