Triple
T19542162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liza Huber |
E488932
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Susan Lucci |
—
|
NE NERFINISHED |
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: Susan Lucci | Statement: [Liza Huber, mother, Susan Lucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Lucci Context triple: [Liza Huber, mother, Susan Lucci]
-
A.
Susan Lucci
chosen
Susan Lucci is an American actress best known for her iconic, decades-long portrayal of Erica Kane on the soap opera "All My Children."
-
B.
Donna Murphy
Donna Murphy is an American actress and singer known for her acclaimed work on Broadway and in film, including voicing the villainous Mother Gothel in Disney's animated film "Tangled."
-
C.
Maria Zimbalist
Maria Zimbalist is a member of the Zimbalist family, known primarily as the daughter of acclaimed American actor Efrem Zimbalist Jr.
-
D.
Heidi Thomas
Heidi Thomas is a British screenwriter and playwright best known for creating and writing the acclaimed period drama series "Call the Midwife."
-
E.
June Roberts
June Roberts is a screenwriter known for her work on the film "Mermaids."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6387442588190a2cdae60a6a940d6 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.