Triple
T12125737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Lane |
E288805
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sam Lane |
E293699
|
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: Sam Lane | Statement: [Ella Lane, spouse, Sam Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Lane Context triple: [Ella Lane, spouse, Sam Lane]
-
A.
Sam Lane
chosen
Sam Lane is a recurring DC Comics character, typically portrayed as Lois Lane’s strict and often militaristic father who frequently clashes with Superman.
-
B.
Sam Dawson
Sam Dawson is a developmentally disabled single father who fights a legal battle to retain custody of his young daughter in the film "I Am Sam."
-
C.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
-
D.
Lance Barber
Lance Barber is an American television actor best known for his role as George Cooper Sr., Sheldon’s father, on the sitcom *Young Sheldon*.
-
E.
Vincent Lane
Vincent Lane is the father of Jane Lane, a character from the animated television series "Daria."
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157b2a9881908ec0e58cf438fce0 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a79dd148190835c2679fb2df3b1 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.