Triple
T7477906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lolita Lebrón |
E176676
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dolores |
E628162
|
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: Dolores | Statement: [Lolita Lebrón, givenName, Dolores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolores Context triple: [Lolita Lebrón, givenName, Dolores]
-
A.
Dolores
Dolores is a historic town in Guanajuato, Mexico, best known as the place where Miguel Hidalgo launched the Mexican War of Independence with the Grito de Dolores in 1810.
-
B.
Dolores
Dolores is a key supporting character in "Who Framed Roger Rabbit," known as Eddie Valiant’s loyal girlfriend who helps him unravel the film’s central mystery.
-
C.
Dolores
chosen
Dolores is the middle name of Lily Dolores Harris, used as part of her full personal name.
-
D.
Dolores
Dolores is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
E.
Dolores
Dolores is a fictional character from the 1927 silent film "The Dove," likely serving as one of the central figures in its romantic drama narrative.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f0088c8190880770ac31e5b7a7 |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8348e8d108190b77e59e9df336d81 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.