Triple
T2220135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drunk in Love |
E48120
|
entity |
| Predicate | chronologyPrevious |
P22762
|
FINISHED |
| Object | XO |
E180763
|
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: XO | Statement: [Drunk in Love, chronologyPrevious, XO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XO Context triple: [Drunk in Love, chronologyPrevious, XO]
-
A.
XO
chosen
"XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
-
B.
OX
OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
-
C.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
D.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
E.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc01386588190a9507f2969a201ca |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655df21c8190aa9624f15955c565 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.