Triple
T26650542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Nevers Field |
E669036
|
entity |
| Predicate | usedAs |
P98
|
FINISHED |
| Object |
fictional airport for the airline Sandpiper Air in "Wings"
Tom Nevers Field is the small, fictional Nantucket airport that serves as the primary setting for the 1990s sitcom "Wings," where much of the show's airline-based comedy unfolds.
|
E1734321
|
NE FINISHED |
How this triple was built (2 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: fictional airport for the airline Sandpiper Air in "Wings" | Statement: [Tom Nevers Field, usedAs, fictional airport for the airline Sandpiper Air in "Wings"]
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: fictional airport for the airline Sandpiper Air in "Wings" Triple: [Tom Nevers Field, usedAs, fictional airport for the airline Sandpiper Air in "Wings"]
Generated description
Tom Nevers Field is the small, fictional Nantucket airport that serves as the primary setting for the 1990s sitcom "Wings," where much of the show's airline-based comedy unfolds.
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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616798e408190b271a85ebdb78cd1 |
completed | May 2, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec45020c8190ac6e21460dbac3d7 |
completed | May 23, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_6a11ecf5d69881908edb6de497f038c9 |
completed | May 23, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ee05a1e08190a2828bc52ba17279 |
completed | May 23, 2026, 6:12 p.m. |
Created at: April 27, 2026, 2:32 a.m.