Triple
T1602490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take That |
E34425
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Robbie Williams |
E98710
|
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: Robbie Williams | Statement: [Take That, formerMember, Robbie Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robbie Williams Context triple: [Take That, formerMember, Robbie Williams]
-
A.
Robbie Williams
chosen
Robbie Williams is an English pop singer and entertainer who rose to fame with the boy band Take That before achieving massive success as a solo artist.
-
B.
George Michael
George Michael was an English singer, songwriter, and record producer who achieved global fame both as a member of Wham! and as a solo artist, becoming one of the best-selling musicians of all time.
-
C.
Mark Owen
Mark Owen is an English singer and songwriter best known as a member of the pop group Take That.
-
D.
James Blunt
James Blunt is an English singer-songwriter and former British Army officer best known for his hit single "You're Beautiful" and the album "Back to Bedlam."
-
E.
Seal
Seal is a British singer-songwriter known for his soulful voice and hit songs such as "Kiss from a Rose."
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62292d1c819080b597199dc6b8d5 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.