Triple
T3353801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile Haynie |
E70557
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Fun |
E330219
|
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: Fun | Statement: [Emile Haynie, workedWith, Fun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fun Context triple: [Emile Haynie, workedWith, Fun]
-
A.
Fun.
chosen
Fun. is an American indie pop band best known for their anthemic hit singles like "We Are Young" and "Some Nights."
-
B.
Just for Fun
"Just for Fun" is a song from Beyoncé’s genre-blending 2024 album *Cowboy Carter*, which explores country, Americana, and Black Southern musical traditions.
-
C.
Fort Fun
Fort Fun is a playful nickname for Fort Collins, Colorado, highlighting the city’s lively, recreation-focused atmosphere.
-
D.
Happy
"Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
-
E.
Happy
Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb24036848190bac779d17dfdce3b |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325373a1c8190b26d883e2f0dd92b |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.