Triple
T20007333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Internado |
E494491
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Elena Furiase
Elena Furiase is a Spanish actress best known for her role in the popular television series "El Internado."
|
E1408041
|
NE FINISHED |
How this triple was built (4 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: Elena Furiase | Statement: [El Internado, stars, Elena Furiase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Furiase Context triple: [El Internado, stars, Elena Furiase]
-
A.
Elena Altieri
Elena Altieri was an Italian film actress known for her supporting roles in mid-20th-century Italian cinema, including collaborations with prominent directors such as Roberto Rossellini.
-
B.
Elena Márquez
Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
-
C.
Lara Vega
Lara Vega is a determined and resourceful Washington, D.C. homicide detective in the science-fiction crime drama series "Minority Report."
-
D.
Elena
Elena is a Bulgarian town historically associated with notable figures of the Bulgarian National Revival period.
-
E.
Elena
Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elena Furiase Triple: [El Internado, stars, Elena Furiase]
Generated description
Elena Furiase is a Spanish actress best known for her role in the popular television series "El Internado."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena Furiase Target entity description: Elena Furiase is a Spanish actress best known for her role in the popular television series "El Internado."
-
A.
Elena Altieri
Elena Altieri was an Italian film actress known for her supporting roles in mid-20th-century Italian cinema, including collaborations with prominent directors such as Roberto Rossellini.
-
B.
Elena Márquez
Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
-
C.
Lara Vega
Lara Vega is a determined and resourceful Washington, D.C. homicide detective in the science-fiction crime drama series "Minority Report."
-
D.
Elena
Elena is a Bulgarian town historically associated with notable figures of the Bulgarian National Revival period.
-
E.
Elena
Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
- F. None of above. chosen
Provenance (5 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815f44eb881909edc41a6e4824ac2 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816acfb10819081943d651aa060bf |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081702e8f081908a609fefc378ce9b |
completed | May 16, 2026, 7:04 a.m. |
Created at: April 11, 2026, 3:33 p.m.