Triple
T3661635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adria Arjona |
E77661
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Dani
Dani is a fictional character played by actress Adria Arjona, known from her role in the fantasy-romance film "Emerald City" and other screen appearances.
|
E377765
|
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: Dani | Statement: [Adria Arjona, portrayed, Dani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Context triple: [Adria Arjona, portrayed, Dani]
-
A.
Dan
Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
-
B.
Dan
Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
-
C.
Dan
Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
-
D.
Dolgan
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
E.
Davis
Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
- 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: Dani Triple: [Adria Arjona, portrayed, Dani]
Generated description
Dani is a fictional character played by actress Adria Arjona, known from her role in the fantasy-romance film "Emerald City" and other screen appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dani Target entity description: Dani is a fictional character played by actress Adria Arjona, known from her role in the fantasy-romance film "Emerald City" and other screen appearances.
-
A.
Dan
Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
-
B.
Dan
Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
-
C.
Dan
Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
-
D.
Dolgan
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
E.
Davis
Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d826d88190b0b50e8592088a36 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48846af9881909d71d63b8bd8d141 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b4898cae348190871b63b8aabef963 |
completed | March 13, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af2032188190b29939d5dc19ccd1 |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.