Triple
T17410428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipers |
E423340
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Piper |
—
|
NE NERFINISHED |
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: Piper | Statement: [Pipers, hasMascot, Piper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piper Context triple: [Pipers, hasMascot, Piper]
-
A.
Piper
Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
-
B.
Piper
Piper is a central character in the science fiction television series "Emergence," known for her mysterious origins and unusual abilities that drive much of the show's plot.
-
C.
Piper
Piper is a 2016 Pixar animated short film about a young sandpiper overcoming its fear of the ocean, acclaimed for its lifelike animation and emotional storytelling.
-
D.
The Piper
"The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
-
E.
McDermot
McDermot is an Irish surname, anglicised from the Gaelic "Mac Diarmada," historically associated with a prominent Gaelic family or clan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0a88e881909b2886bd90c92992 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.