Triple
T18515001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Theatre, Drury Lane |
E452435
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Phoenix
Phoenix is a historic London theatre located on Drury Lane, known for staging a wide range of plays and musicals.
|
E1332731
|
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: Phoenix | Statement: [Phoenix Theatre, Drury Lane, alsoKnownAs, Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Context triple: [Phoenix Theatre, Drury Lane, alsoKnownAs, Phoenix]
-
A.
Phoenix
Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
-
B.
Phoenix
Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
-
C.
Phoenix
Phoenix is a French indie pop and rock band known for their catchy, synth-infused sound and critically acclaimed albums like "Wolfgang Amadeus Phoenix."
-
D.
Phoenix
Phoenix is a high-performance web development framework for the Elixir programming language, designed for building scalable, real-time applications.
-
E.
Phoenix
Phoenix is the powerful mutant alter-ego of Jean Grey in the X-Men franchise, known for her immense telepathic and telekinetic abilities and central role in several major storylines.
- 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: Phoenix Triple: [Phoenix Theatre, Drury Lane, alsoKnownAs, Phoenix]
Generated description
Phoenix is a historic London theatre located on Drury Lane, known for staging a wide range of plays and musicals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phoenix Target entity description: Phoenix is a historic London theatre located on Drury Lane, known for staging a wide range of plays and musicals.
-
A.
Phoenix
Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
-
B.
Phoenix
Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
-
C.
Phoenix
Phoenix is a British rock band best known for its work with the band Air and its blend of indie pop and alternative rock sounds.
-
D.
Phoenix
Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
-
E.
Phoenix
Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53349415c8190b989b536e2d1c40a |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05036c7b8c8190a6baa54636f8e705 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05044722c88190bdeac36b602673e9 |
completed | May 13, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0504deb488819086f3146141b3fb45 |
completed | May 13, 2026, 11:10 p.m. |
Created at: April 10, 2026, 11:36 a.m.