Triple
T6278634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Daniels |
E140723
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object |
Star
Star is an American musical drama television series that follows the rise of a girl group navigating the music industry, created by filmmaker and producer Lee Daniels.
|
E435028
|
NE FINISHED |
How this triple was built (4 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: Star | Statement: [Lee Daniels, creatorOf, Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star Context triple: [Lee Daniels, creatorOf, Star]
-
A.
Star
Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
-
B.
Star
Star is a small but growing suburban city in southwestern Idaho that forms part of the Boise metropolitan area.
-
C.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
D.
Star
"Star" is a song featured on the album *The Tipping Point* by the British band Tears for Fears.
-
E.
Star
Star is the middle name of D'Lila Star Combs, one of Sean "Diddy" Combs' twin daughters.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Star Triple: [Lee Daniels, creatorOf, Star]
Generated description
Star is an American musical drama television series that follows the rise of a girl group navigating the music industry, created by filmmaker and producer Lee Daniels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Star Target entity description: Star is an American musical drama television series that follows the rise of a girl group navigating the music industry, created by filmmaker and producer Lee Daniels.
-
A.
Star
chosen
"Star" is a musical drama television series created by Lee Daniels and Tom Donaghy that follows three talented young singers navigating the challenges of the music industry in Atlanta.
-
B.
Star
Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
-
C.
Star
Star is the middle name of D'Lila Star Combs, one of Sean "Diddy" Combs' twin daughters.
-
D.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
E.
Star
Star is a small but growing suburban city in southwestern Idaho that forms part of the Boise metropolitan area.
- F. None of above.
Provenance (5 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e40844b48190837b75baaf8dabda |
completed | March 27, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69c5e4af6b28819088158c50de820297 |
completed | March 27, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e5abb4408190a2a54a26e1479851 |
completed | March 27, 2026, 2:04 a.m. |
Created at: March 22, 2026, 4:26 p.m.