Triple
T18852739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Todd |
E461084
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Jennifer Todd |
—
|
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: Jennifer Todd | Statement: [Suzanne Todd, hasRelative, Jennifer Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Todd Context triple: [Suzanne Todd, hasRelative, Jennifer Todd]
-
A.
Jennifer Todd
chosen
Jennifer Todd is an American film and television producer known for her work on projects such as the crime drama series "City on a Hill" and films like "Memento" and the "Austin Powers" franchise.
-
B.
Caitlin Todd
Caitlin Todd is a former Secret Service agent who becomes a key NCIS special agent and original member of Leroy Jethro Gibbs’ investigative team on the TV series "NCIS."
-
C.
Ann Todd
Ann Todd was a British actress best known for her roles in mid-20th-century films, particularly in psychological dramas and thrillers.
-
D.
Jennifer Johnson
Jennifer Johnson is known as the mother of Quake, a character associated with this relationship.
-
E.
Rachel Todds
Rachel Todds is a fictional character from the television series "Zapped," a British fantasy-comedy about a man transported to a strange parallel world.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05a8a708190b9b2b8f95b2f1d23 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.