Triple
T21102101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatum O'Neal |
E519930
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Joanna 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: Joanna Moore | Statement: [Tatum O'Neal, parent, Joanna Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joanna Moore Context triple: [Tatum O'Neal, parent, Joanna Moore]
-
A.
Joanna Moore
chosen
Joanna Moore was an American film and television actress known for her roles in 1950s–1960s Hollywood productions, including a recurring part on "The Andy Griffith Show."
-
B.
Jill Moore
Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
-
C.
Joanna McCoy
Joanna McCoy is a character in the Star Trek universe known as the estranged daughter of Dr. Leonard "Bones" McCoy.
-
D.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
-
E.
Rachel Moore
Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5ee8948190ac6e9e144d312c90 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.