Triple
T19346147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islington Green |
E483882
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Angel
Angel is a vibrant district in the London Borough of Islington, known for its bustling high street, shops, restaurants, and excellent transport links.
|
E411083
|
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: Angel | Statement: [Islington Green, near, Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Context triple: [Islington Green, near, Angel]
-
A.
Angel
"Angel" is a song by the American rock band Aerosmith, best known as a power ballad from their 1987 album *Permanent Vacation*.
-
B.
Angel
An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
-
C.
Angel
Angel is a winged mutant warrior in the X-Men universe, often depicted with metallic feathered wings and a conflicted, tormented nature.
-
D.
Angel
Angel is a character in William Wordsworth's autobiographical poem "The Prelude," symbolizing spiritual guidance and inspiration in the poet's inner and artistic development.
-
E.
Angel
"Angel" is a dark, trip hop song by Massive Attack, known for its brooding atmosphere, slow-building intensity, and prominent use in film and television soundtracks.
- 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: Angel Triple: [Islington Green, near, Angel]
Generated description
Angel is a vibrant district in the London Borough of Islington, known for its bustling high street, shops, restaurants, and excellent transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel Target entity description: Angel is a vibrant district in the London Borough of Islington, known for its bustling high street, shops, restaurants, and excellent transport links.
-
A.
Angel
chosen
Angel is a vibrant district in central London known for its bustling high street, cultural venues, and lively dining and nightlife scene.
-
B.
Angel
Angel is a surname of English origin borne by various notable individuals across fields such as acting, science, and sports.
-
C.
Angel
Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
-
D.
Angel
Angel is a groundbreaking gourmand women’s perfume by Thierry Mugler, renowned for its sweet, candy-like scent profile and iconic star-shaped bottle.
-
E.
Angel
Angel is a given name used across various cultures, often associated with spiritual or celestial connotations.
- F. None of above.
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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bed1c608190a71094aa2645199d |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071cc1c76c8190b99ef2b319f6ab39 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071d787dd881908d86c5fe52ca2561 |
completed | May 15, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:34 p.m.