Triple
T10628266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Lightman |
E250381
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object | Cal Lightman |
E197298
|
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: Cal Lightman | Statement: [Emily Lightman, hasFather, Cal Lightman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Lightman Context triple: [Emily Lightman, hasFather, Cal Lightman]
-
A.
Dr. Cal Lightman
chosen
Dr. Cal Lightman is a brilliant but abrasive deception expert who leads a team that uses facial expressions and body language to uncover the truth in the TV series "Lie to Me."
-
B.
James Hartnett
James Hartnett is a comedian and writer known for his stand-up performances and work in Canadian television and radio comedy.
-
C.
John Morrow
John Morrow is a relatively common personal name shared by multiple individuals across fields such as politics, academia, and the arts.
-
D.
Jonathan Resnick
Jonathan Resnick is an individual notable enough to be recognized as a bearer of the Resnick surname, though specific widely known public details about him are not clearly established.
-
E.
Mark Rosman
Mark Rosman is an American film and television director and screenwriter best known for his work on family and teen-oriented movies and series, including projects for Disney.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 8:58 p.m.