Triple
T16035179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilio Fernández |
E388952
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Flor silvestre |
E791931
|
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: Flor silvestre | Statement: [Emilio Fernández, notableWork, Flor silvestre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flor silvestre Context triple: [Emilio Fernández, notableWork, Flor silvestre]
-
A.
Flor silvestre
chosen
Flor silvestre is a classic Mexican film best known for featuring iconic actress Dolores del Río in a leading role.
-
B.
Jacinto
Jacinto is a masculine given name of Spanish and Portuguese origin, derived from the Greek name Hyacinthos.
-
C.
Jacinto
Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
-
D.
Consuella
Consuella is a central character in the 1974 science fiction film "Zardoz," portrayed as an immortal member of the Eternals who initially opposes but becomes pivotal to the protagonist's transformative journey.
-
E.
Lavatera
Lavatera is a genus of flowering plants, commonly known as tree mallows, valued in gardens for their showy, hibiscus-like blooms and fast-growing, shrubby habit.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833b84608190887dafda5d081dc0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd1cafc81909125174eed475d55 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.