Triple
T17351463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronke Adekoluejo |
E421822
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Wolves |
E1057471
|
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: The Wolves | Statement: [Ronke Adekoluejo, notableWork, The Wolves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wolves Context triple: [Ronke Adekoluejo, notableWork, The Wolves]
-
A.
The Wolves
The Wolves are a brutal, scavenging survivor group in The Walking Dead TV series known for their violent attacks and “W” forehead markings.
-
B.
The Wolves
chosen
The Wolves is a contemporary play by Sarah DeLappe that follows a high school girls’ indoor soccer team as they navigate adolescence, identity, and relationships during their pre-game warmups.
-
C.
Wolves
Wolves is the short name of the Chicago Wolves, a professional ice hockey team based in the Chicago metropolitan area that competes in the American Hockey League.
-
D.
Wolves
"Wolves" is a popular rock song by the American post-hardcore band Story of the Year, known for its energetic style and emotive lyrics.
-
E.
Wolves
Wolves is the commonly used short name for the Warrington Wolves, a professional rugby league club based in Warrington, England.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195585e5881909b0ad386b65112ba |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.