Triple
T3696202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daddy's Home |
E78464
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Scarlett Estevez |
E310034
|
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: Scarlett Estevez | Statement: [Daddy's Home, starring, Scarlett Estevez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarlett Estevez Context triple: [Daddy's Home, starring, Scarlett Estevez]
-
A.
Scarlett Estevez
chosen
Scarlett Estevez is an American child actress best known for her roles in films like the "Daddy’s Home" series and the TV show "Lucifer."
-
B.
Renée Estevez
Renée Estevez is an American actress and writer known for her roles in films like "Heathers" and appearances on the television series "The West Wing."
-
C.
Mayan Lopez
Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
-
D.
Natalie Morales
Natalie Morales is an American actress and filmmaker known for her roles in television series like "Parks and Recreation" and "The Middleman," as well as her work as a voice and film director.
-
E.
Eva Mendes
Eva Mendes is an American actress and model known for her roles in films such as "Training Day," "Hitch," and "The Place Beyond the Pines."
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc50f9ad88190a926042fa73d65dc |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3d4821081909ccd1b5789eb761e |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.