Triple
T18901697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piers Anthony |
E462353
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Air Apparent
Air Apparent is a fantasy novel in Piers Anthony’s long-running Xanth series, known for its pun-filled world and humorous magical adventures.
|
E1348136
|
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: Air Apparent | Statement: [Piers Anthony, notableWork, Air Apparent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Apparent Context triple: [Piers Anthony, notableWork, Air Apparent]
-
A.
Air
Air is a French electronic music duo known for their atmospheric, downtempo sound and influential albums like "Moon Safari."
-
B.
Air
"Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
-
C.
Airflow
Airflow is an open-source platform for authoring, scheduling, and monitoring complex data workflows as directed acyclic graphs.
-
D.
In the Air
"In the Air" is a song by the English rock band VII, featured as one of the tracks on their album.
-
E.
In the Air
"In the Air" is a dreamy, atmospheric song by the American indie pop duo Beach House, known for its lush synths and ethereal vocals.
- 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: Air Apparent Triple: [Piers Anthony, notableWork, Air Apparent]
Generated description
Air Apparent is a fantasy novel in Piers Anthony’s long-running Xanth series, known for its pun-filled world and humorous magical adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Air Apparent Target entity description: Air Apparent is a fantasy novel in Piers Anthony’s long-running Xanth series, known for its pun-filled world and humorous magical adventures.
-
A.
Air
Air is a French electronic music duo known for their atmospheric, downtempo sound and influential albums like "Moon Safari."
-
B.
Air
"Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
-
C.
Airflow
Airflow is an open-source platform for authoring, scheduling, and monitoring complex data workflows as directed acyclic graphs.
-
D.
In the Air
"In the Air" is a song by the English rock band VII, featured as one of the tracks on their album.
-
E.
In the Air
"In the Air" is a dreamy, atmospheric song by the American indie pop duo Beach House, known for its lush synths and ethereal vocals.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52954bc8190a237627c09615ac1 |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582bc878c8190bfb5f058aa272225 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05871baa5881908c3c0f407b2d82c0 |
completed | May 14, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0587acbf1c819088bae20aa89783eb |
completed | May 14, 2026, 8:28 a.m. |
Created at: April 10, 2026, 11:58 a.m.