Triple
T1127415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tessie |
E24750
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | song "Tessie" |
E127536
|
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: song "Tessie" | Statement: [Tessie, inspiredBy, song "Tessie"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: song "Tessie" Context triple: [Tessie, inspiredBy, song "Tessie"]
-
A.
song "Tessie"
chosen
"Tessie" is a classic American song closely associated with the Boston Red Sox and their fan culture.
-
B.
song "Honey"
"Honey" is a 1997 R&B-pop single by Mariah Carey that marked a stylistic shift toward a more hip hop–influenced sound and became one of her signature hits.
-
C.
song "Diamonds & Rust"
"Diamonds & Rust" is a 1975 folk-rock ballad by Joan Baez, widely recognized as a poignant, autobiographical reflection on her past relationship with Bob Dylan.
-
D.
song "Fantasy"
"Fantasy" is a 1995 pop and R&B hit by Mariah Carey, known for its catchy hook, innovative use of a Tom Tom Club sample, and enduring popularity as one of her signature songs.
-
E.
Wedding Song
"Wedding Song" is a heartfelt folk ballad by Bob Dylan, widely interpreted as a personal tribute to his then-wife Sara Dylan.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdd39b88190bf46de38818fe2df |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a82bb8819084f77aff9af653c0 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.