Triple
T10541329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Murphy |
E248700
|
entity |
| Predicate | singsInSong |
P86784
|
FINISHED |
| Object | Only Us |
E228403
|
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: Only Us | Statement: [Zoe Murphy, singsInSong, Only Us]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Only Us Context triple: [Zoe Murphy, singsInSong, Only Us]
-
A.
Only Us
chosen
"Only Us" is an emotional duet from the Broadway musical "Dear Evan Hansen" that explores themes of intimacy, acceptance, and starting over in a relationship.
-
B.
Both of Us
"Both of Us" is a pop-rap single by American rapper B.o.B featuring Taylor Swift that blends hip hop and country-pop influences.
-
C.
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
-
D.
All of Me
"All of Me" is a 2013 piano-driven R&B ballad by John Legend that became one of his signature love songs and a global hit.
-
E.
All of Me
"All of Me" is a pop song by the American boy band Dream Street, featured on their self-titled debut album released in 2000.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:32 p.m.