Triple
T1207718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man of Steel |
E25926
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lois Lane |
E56580
|
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: Lois Lane | Statement: [Man of Steel, character, Lois Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lois Lane Context triple: [Man of Steel, character, Lois Lane]
-
A.
Lois Lane (fictional character)
chosen
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.
-
B.
Superwoman
"Superwoman" is an empowering R&B ballad by Alicia Keys that celebrates female strength, resilience, and self-worth.
-
C.
Rachel Dawes
Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
-
D.
Lois Griffin
Lois Griffin is a central character in the animated sitcom "Family Guy," known as the often level-headed yet flawed wife of Peter Griffin and mother of the Griffin family.
-
E.
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f419b8c8190ac7642b9b4108df8 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:46 p.m.