Triple
T13866382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1986 |
E333336
|
entity |
| Predicate | hostCountryEntry |
P846
|
FINISHED |
| Object |
Romeo
Romeo is the song that represented the host nation at the Eurovision Song Contest in 1986.
|
E1066627
|
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: Romeo | Statement: [Eurovision Song Contest 1986, hostCountryEntry, Romeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romeo Context triple: [Eurovision Song Contest 1986, hostCountryEntry, Romeo]
-
A.
Romeo
Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
-
B.
Romeo
Romeo is a tough, wisecracking Orbital Drop Shock Trooper and member of the Rookie’s squad in the video game Halo 3: ODST.
-
C.
Romeo
Romeo is a recurring mad-scientist villain in the children's animated superhero series PJ Masks, known for his inventive gadgets and schemes to outsmart the heroes.
-
D.
Romeo Montague
Romeo Montague is the passionate young lover and tragic protagonist of William Shakespeare’s play "Romeo and Juliet," whose forbidden romance ends in mutual death.
-
E.
Giulietta
Giulietta is the given name of Countess Giulietta Guicciardi, an aristocratic woman best known as one of Ludwig van Beethoven’s piano students and the dedicatee of his "Moonlight" Sonata.
- 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: Romeo Triple: [Eurovision Song Contest 1986, hostCountryEntry, Romeo]
Generated description
Romeo is the song that represented the host nation at the Eurovision Song Contest in 1986.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romeo Target entity description: Romeo is the song that represented the host nation at the Eurovision Song Contest in 1986.
-
A.
Romeo
Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
-
B.
Romeo
Romeo is a recurring mad-scientist villain in the children's animated superhero series PJ Masks, known for his inventive gadgets and schemes to outsmart the heroes.
-
C.
Romeo
Romeo is a tough, wisecracking Orbital Drop Shock Trooper and member of the Rookie’s squad in the video game Halo 3: ODST.
-
D.
Romeo Montague
Romeo Montague is the passionate young lover and tragic protagonist of William Shakespeare’s play "Romeo and Juliet," whose forbidden romance ends in mutual death.
-
E.
Giulietta
Giulietta is the given name of Countess Giulietta Guicciardi, an aristocratic woman best known as one of Ludwig van Beethoven’s piano students and the dedicatee of his "Moonlight" Sonata.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c1039128819086cfe9f966b9f142 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e7efd88190ac07472647da69e7 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c33c2f34819084502d5f03f09ddd |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.