Triple
T13348681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rock |
E318018
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lauren Hashian |
E548935
|
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: Lauren Hashian | Statement: [The Rock, spouse, Lauren Hashian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Hashian Context triple: [The Rock, spouse, Lauren Hashian]
-
A.
Lauren Hashian
chosen
Lauren Hashian is an American singer-songwriter and music producer known both for her own work and as the longtime partner and wife of actor and former wrestler Dwayne "The Rock" Johnson.
-
B.
Lauren Parsekian
Lauren Parsekian is an American director and activist best known for co-founding the anti-bullying organization Kind Campaign and for her marriage to actor Aaron Paul.
-
C.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
D.
Lauren Shehadi
Lauren Shehadi is an American sportscaster best known as an on-air host and reporter for MLB Network’s baseball coverage.
-
E.
Lauren Dalby
Lauren Dalby is a fictional astronaut and key crew member featured in the science fiction horror film "The Last Days on Mars."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce12e78819080b3fe19c57ef3ef |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 9, 2026, 9:31 p.m.