Triple
T14114787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrik Berger |
E339739
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Take My Hand |
E1079674
|
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: Take My Hand | Statement: [Patrik Berger, workedOn, Take My Hand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take My Hand Context triple: [Patrik Berger, workedOn, Take My Hand]
-
A.
Take My Hand
"Take My Hand" is a song featured on the soundtrack of the 1993 romantic crime film *True Romance*.
-
B.
Take My Hand
chosen
"Take My Hand" is a song by Czech musician and producer Patrik Berger, known for his work in pop and electronic music.
-
C.
For My Hand
"For My Hand" is a popular Afrobeats song by Nigerian artist Burna Boy, known for its melodic blend of Afro-fusion and contemporary pop elements.
-
D.
Take Hold of My Hand
"Take Hold of My Hand" is a song by American singer-songwriter Dwight Yoakam from his album "3 Pears."
-
E.
In My Hands
"In My Hands" is a Celtic music album by renowned Canadian fiddler Natalie MacMaster that blends traditional Cape Breton fiddle tunes with contemporary arrangements.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600f992c81908133813f2894dcca |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0641008190b88efacc02ba5314 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.