Triple
T11817048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Mann |
E281026
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Carla Mann |
E131780
|
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: Carla Mann | Statement: [Julia Mann, motherOf, Carla Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Mann Context triple: [Julia Mann, motherOf, Carla Mann]
-
A.
Carla Mann
chosen
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
-
B.
Carla Sinclair
Carla Sinclair is an American writer and editor best known as a co-founder of the influential technology and culture blog Boing Boing.
-
C.
Laura Mennell
Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
-
D.
Carla Purty
Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
-
E.
Carla Hauptman
Carla Hauptman is the daughter of Nobel Prize–winning mathematician and crystallographer Herbert A. Hauptman.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131b62abc8190a02f584541baaee5 |
completed | April 28, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:42 p.m.