Triple
T15032881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Sinclair |
E378398
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Jack Lucas |
E378396
|
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: Jack Lucas | Statement: [Lydia Sinclair, connectedTo, Jack Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Lucas Context triple: [Lydia Sinclair, connectedTo, Jack Lucas]
-
A.
Jack Lucas
chosen
Jack Lucas is a disgraced, guilt-ridden former shock jock whose search for redemption drives the central narrative of the film "The Fisher King."
-
B.
Nick Lucas
Nick Lucas was an American jazz guitarist and singer known as "The Crooning Troubadour," popular in the 1920s and 1930s for his influential recordings and film appearances.
-
C.
Carl Lucas
Carl Lucas is the birth name of Marvel Comics superhero Luke Cage, a bulletproof, super-strong hero from Harlem.
-
D.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
E.
Joe Lucas
Joe Lucas is a fictional character portrayed by Jonas L.A., likely appearing as a central or recurring role in that production.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddb46888190b1d2fe2992fc120b |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.