Triple
T14080116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annalise Keating |
E338842
|
entity |
| Predicate | mentorOf |
P7251
|
FINISHED |
| Object | Laurel Castillo |
E1114918
|
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: Laurel Castillo | Statement: [Annalise Keating, mentorOf, Laurel Castillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurel Castillo Context triple: [Annalise Keating, mentorOf, Laurel Castillo]
-
A.
Laurel Castillo
chosen
Laurel Castillo is a driven and morally conflicted law student who becomes deeply entangled in the central murder conspiracies on the television series "How to Get Away with Murder."
-
B.
Lauren Vélez
Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
-
C.
Victoria Villarruel
Victoria Villarruel is an Argentine lawyer and politician known for her conservative stance on human rights issues and for serving as the country’s vice president alongside President Javier Milei.
-
D.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
E.
Lola Salazar
Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb710b34819094e3387a3ef6fcff |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 9, 2026, 10:21 p.m.