Triple
T8346180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hanks |
E196040
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Samantha Lewes |
E97181
|
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: Samantha Lewes | Statement: [Elizabeth Hanks, parent, Samantha Lewes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Lewes Context triple: [Elizabeth Hanks, parent, Samantha Lewes]
-
A.
Samantha Lewes
chosen
Samantha Lewes was an American actress best known as Tom Hanks’s first wife and the mother of actors Colin Hanks and Elizabeth Hanks.
-
B.
Samantha Maloney
Samantha Maloney is an American rock drummer best known for her work with bands such as Hole, Mötley Crüe, and Eagles of Death Metal.
-
C.
Samantha Logan
Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
-
D.
Samantha Wheeler
Samantha Wheeler is a formidable and ambitious corporate lawyer introduced in later seasons of the TV series "Suits," known for her sharp legal skills and fierce loyalty.
-
E.
Samantha Harper
Samantha Harper is an American actress best known for her work in television and film and for being married to actor Bill Macy.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8013d81c81908da48466cffb3939 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc73ccfb481908d0d189362404e09 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.