Triple
T20436450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takin' It Back |
E501261
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tyler Johnson |
—
|
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: Tyler Johnson | Statement: [Takin' It Back, producer, Tyler Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Johnson Context triple: [Takin' It Back, producer, Tyler Johnson]
-
A.
Tyler Johnson
Tyler Johnson is an actor known for his role in the romantic comedy film "The Matchmaker’s Playbook."
-
B.
Tyler Johnson
Tyler Johnson is an actor known for his role in the romantic drama film "Afterburn/Aftershock."
-
C.
Tyler Johnson
chosen
Tyler Johnson is an American songwriter and producer known for his work on major pop hits, including co-writing Harry Styles’ “Watermelon Sugar.”
-
D.
Tyler Johnson
Tyler Johnson is an American professional ice hockey center known for his successful NHL career, including winning the Stanley Cup with the Tampa Bay Lightning.
-
E.
Ryan Nugent-Hopkins
Ryan Nugent-Hopkins is a Canadian professional ice hockey center best known for being a long-time core player with the NHL’s Edmonton Oilers after being selected first overall in the 2011 NHL Entry Draft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.