Triple
T10695010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Chambers |
E252111
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Take a Girl Like You |
E738442
|
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 a Girl Like You | Statement: [Emma Chambers, appearedIn, Take a Girl Like You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take a Girl Like You Context triple: [Emma Chambers, appearedIn, Take a Girl Like You]
-
A.
Take a Girl Like You
chosen
Take a Girl Like You is a 1960 novel by British author Kingsley Amis that follows a young woman's romantic and moral struggles in contemporary England, blending social comedy with sharp satire.
-
B.
A Girl Like You
"A Girl Like You" is an R&B song performed by American singer Kevon Edmonds, known for his smooth vocals and emotive ballad style.
-
C.
With a Girl Like You
"With a Girl Like You" is a 1966 hit rock song by the English band The Troggs, known for its simple, catchy melody and prominent use of vocal hooks.
-
D.
Beautiful Girl
"Beautiful Girl" is a song featured on the album *Shine On*.
-
E.
A Girl Like Me
A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998da1738819099a9090c3e8badc9 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:11 p.m.