Triple
T14627415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Farren |
E343386
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Eppie |
E305309
|
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: Eppie | Statement: [Molly Farren, hasChild, Eppie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eppie Context triple: [Molly Farren, hasChild, Eppie]
-
A.
Eppie
chosen
Eppie is the beloved adopted daughter of Silas Marner in George Eliot’s novel, symbolizing redemption, love, and the transformative power of human connection.
-
B.
Tillie
Tillie is a character in the 1967 film "Guess Who's Coming to Dinner," serving as the Drayton family's outspoken and protective housekeeper.
-
C.
Nell
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
-
D.
Nell
Nell is a 1994 American drama film starring Jodie Foster as a reclusive young woman raised in isolation, known for its exploration of language, communication, and societal integration.
-
E.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92c25ac8190ba931c009e7ace19 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.