Triple
T15577922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer Grammer |
E374415
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Doreen Alderman |
E374415
|
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: Doreen Alderman | Statement: [Spencer Grammer, parent, Doreen Alderman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doreen Alderman Context triple: [Spencer Grammer, parent, Doreen Alderman]
-
A.
Doreen Alderman
chosen
Doreen Alderman is an American former dancer and actress best known for her past marriage to actor Kelsey Grammer.
-
B.
Joan Sobel
Joan Sobel is a film editor best known for her work on critically acclaimed films such as "A Single Man."
-
C.
Nancy Hollander
Nancy Hollander is an American criminal defense attorney known for representing high-profile clients, including Guantánamo Bay detainee Mohamedou Ould Slahi.
-
D.
Ilene Rosenzweig
Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
-
E.
Ann Biderman
Ann Biderman is an American screenwriter and television creator known for her work on crime dramas such as the film "Public Enemies" and the TV series "Southland" and "Ray Donovan."
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90887ef48190b6148830803669dd |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:11 a.m.