Triple
T15692044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Hannah |
E380354
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shag |
E369792
|
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: Shag | Statement: [Page Hannah, notableWork, Shag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shag Context triple: [Page Hannah, notableWork, Shag]
-
A.
Shag
Shag is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
B.
Shag
chosen
Shag is a 1989 coming-of-age comedy film set in the early 1960s that follows a group of Southern teenage girls on a rebellious beach weekend in Myrtle Beach.
-
C.
The Shag
The Shag is a swing-style partner dance that originated in the Carolina beach communities and is closely associated with beach music culture.
-
D.
Heebie Jeebies
"Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
-
E.
The Shaggy Man
The Shaggy Man is a kindly, eccentric wanderer from L. Frank Baum’s Oz series, known for his unkempt appearance, magical love magnet, and loyal friendship with Dorothy and her companions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4f5a888190bd3681bcb9bbc02f |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.