Triple
T20719406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Harper |
E509268
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object | Dani Ramos |
—
|
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: Dani Ramos | Statement: [Grace Harper, loyalTo, Dani Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Ramos Context triple: [Grace Harper, loyalTo, Dani Ramos]
-
A.
Dani Ramos
chosen
Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
-
B.
Roger Ramirez
Roger Ramirez was an American jazz pianist and composer best known for co-writing the classic ballad "Lover Man (Oh, Where Can You Be?)."
-
C.
Daniel Morales
Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
-
D.
James Ramirez
James Ramirez is the silent playable U.S. Army Ranger protagonist in the 2009 first-person shooter video game Call of Duty: Modern Warfare 2.
-
E.
Carlos Ramos
Carlos Ramos was a prominent Portuguese architect known for his influential role in mid-20th-century Portuguese architecture and urban planning.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d4de6c81908f8c98c2f1e70cc4 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:26 p.m.