Triple
T18114563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Combs |
E433570
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | D'Lila Star Combs |
—
|
NE NERFINISHED |
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: D'Lila Star Combs | Statement: [Sean Combs, hasChild, D'Lila Star Combs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D'Lila Star Combs Context triple: [Sean Combs, hasChild, D'Lila Star Combs]
-
A.
D'Lila Star Combs
chosen
D'Lila Star Combs is one of Sean "Diddy" Combs' twin daughters, known publicly through her association with the music mogul and occasional appearances in media and fashion events.
-
B.
Starla
Starla is a recurring character from the animated series "Regular Show," known as Muscle Man’s loud, aggressive, and on-again, off-again girlfriend.
-
C.
D'Lila
D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
-
D.
June Star
June Star is a bratty, outspoken young girl in Flannery O’Connor’s short story “A Good Man Is Hard to Find,” known for her rudeness and lack of empathy.
-
E.
Lorelei Ambrosia
Lorelei Ambrosia is a glamorous, comedic antagonist and accomplice to the villain Ross Webster in the 1983 superhero film Superman III.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.