Triple
T12319913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Lane |
E293699
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Lucy Lane |
E289595
|
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: Lucy Lane | Statement: [Sam Lane, relative, Lucy Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Lane Context triple: [Sam Lane, relative, Lucy Lane]
-
A.
Lucy Lane
chosen
Lucy Lane is a supporting character in DC Comics, best known as Lois Lane’s younger sister and often depicted as a love interest of Jimmy Olsen.
-
B.
Lois Lincoln
Lois Lincoln is a fictional DC Comics supervillain better known as the icy adversary Killer Frost, often depicted as an enemy of Firestorm and other superheroes.
-
C.
Lois Lane (fictional character)
Lois Lane is a prominent DC Comics character best known as a fearless investigative reporter at the Daily Planet and Superman’s primary love interest.
-
D.
Lois
Lois is a central character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her outspoken, politically engaged, and often radical lesbian feminist persona.
-
E.
Lois
Lois is a feminine given name of Old German origin, commonly used in English-speaking countries.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e627b4819084c830f4a46a8cda |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 8, 2026, 9:53 p.m.