Triple
T21437291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is 40 |
E528845
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Megan Fox |
—
|
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: Megan Fox | Statement: [This Is 40, starring, Megan Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Fox Context triple: [This Is 40, starring, Megan Fox]
-
A.
Megan Fox
chosen
Megan Fox is an American actress and model known for her roles in blockbuster action films such as the Transformers series and various high-profile Hollywood productions.
-
B.
Jessica Alba
Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
-
C.
Jessica Biel
Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
-
D.
Sanaa Lathan
Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
-
E.
Isabel LaBeouf
Isabel LaBeouf is the daughter of American actor and filmmaker Shia LaBeouf.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8140a1fc8190bedf297cfc4d4841 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:03 p.m.