Triple
T20059276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lauren Cross |
—
|
NE NERFINISHED |
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: Lauren Cross | Statement: [Cross, hasNotableBearer, Lauren Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Cross Context triple: [Cross, hasNotableBearer, Lauren Cross]
-
A.
Lauren Cross
chosen
Lauren Cross is known as the daughter of the late British actor Ben Cross, who starred in the film "Chariots of Fire."
-
B.
Shauna Cross
Shauna Cross is an American screenwriter and author best known for her novel "Derby Girl" and its film adaptation "Whip It."
-
C.
Lauren Lambert
Lauren Lambert is best known as the former wife of American actor John C. McGinley.
-
D.
Lauren Reynolds
Lauren Reynolds is a character in the romantic comedy film "Blended," which stars Adam Sandler and Drew Barrymore.
-
E.
Lauren Weedman
Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66373e0e08190a6d8a10084eecc4d |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.