Triple
T11307386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordi |
E267750
|
entity |
| Predicate | hasGuestArtist |
P10644
|
FINISHED |
| Object | H.E.R. |
E78548
|
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: H.E.R. | Statement: [Jordi, hasGuestArtist, H.E.R.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H.E.R. Context triple: [Jordi, hasGuestArtist, H.E.R.]
-
A.
H.E.R.
chosen
H.E.R. is an American R&B singer-songwriter and multi-instrumentalist known for her soulful vocals, introspective lyrics, and Grammy-winning work.
-
B.
Ella Mai
Ella Mai is a British R&B singer and songwriter best known for her hit single "Boo'd Up" and her self-titled debut studio album.
-
C.
Jazmine Sullivan
Jazmine Sullivan is an American R&B and soul singer-songwriter renowned for her powerful vocals and critically acclaimed albums such as "Fearless" and "Heaux Tales."
-
D.
Khleo Thomas
Khleo Thomas is an American actor and rapper best known for playing Zero in the film adaptation of the novel "Holes."
-
E.
SZA
SZA is an American R&B singer-songwriter known for her introspective lyrics, genre-blending sound, and critically acclaimed albums like "Ctrl."
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.