Triple
T4780571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supernatural |
E106153
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Milagro |
E250930
|
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: Milagro | Statement: [Supernatural, follows, Milagro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milagro Context triple: [Supernatural, follows, Milagro]
-
A.
Milagro
chosen
Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
-
B.
El Callejón de los Milagros
El Callejón de los Milagros is a critically acclaimed 1994 Mexican drama film, based on Naguib Mahfouz’s novel "Midaq Alley," known for its ensemble storytelling and one of Salma Hayek’s early breakthrough roles.
-
C.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
-
D.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
-
E.
Camoteros
Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65aa577c81909ec1b94e47810169 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43d371b081908142e6d66780e0f0 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:21 p.m.