Triple
T22956916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawthorne |
E570784
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Christina Moore |
—
|
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: Christina Moore | Statement: [Hawthorne, starring, Christina Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christina Moore Context triple: [Hawthorne, starring, Christina Moore]
-
A.
Christina Moore
chosen
Christina Moore is an American actress and comedian known for her work on sketch comedy series MADtv and sitcoms such as That '70s Show and Jessie.
-
B.
Rachel O’Riordan
Rachel O’Riordan is a prominent theatre director and arts leader known for her innovative work in contemporary drama and for revitalizing major UK theatre institutions.
-
C.
Cathleen Lynott
Cathleen Lynott is the mother of Phil Lynott, the Irish musician best known as the frontman and bassist of the rock band Thin Lizzy.
-
D.
Mary O'Riordan
Mary O'Riordan is an actress known for her role in the Irish historical drama film "The Wind That Shakes the Barley."
-
E.
Donna Feore
Donna Feore is a Canadian choreographer and theatre director best known for her acclaimed work on musical productions at the Stratford Festival.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f15ebc8190bf477539f7c23985 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.