Triple
T8639844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Affleck |
E204617
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Seraphina Affleck |
E749930
|
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: Seraphina Affleck | Statement: [Ben Affleck, child, Seraphina Affleck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seraphina Affleck Context triple: [Ben Affleck, child, Seraphina Affleck]
-
A.
Seraphina Affleck
chosen
Seraphina Affleck is the daughter of actors Ben Affleck and Jennifer Garner and the younger sister of Violet Affleck.
-
B.
Violet Affleck
Violet Affleck is the eldest daughter of American actors Ben Affleck and Jennifer Garner, known primarily for her connection to her high-profile parents.
-
C.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
D.
Alexandra Daddario
Alexandra Daddario is an American actress known for her roles in films such as the Percy Jackson series, San Andreas, and Baywatch, as well as the HBO series True Detective.
-
E.
Thora Birch
Thora Birch is an American actress known for her roles in films such as "American Beauty," "Ghost World," and various prominent 1990s and early 2000s movies.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ec2bf188190a4e93148879296d3 |
completed | April 3, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:28 p.m.