Triple
T9345338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Taylor |
E224874
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Crowns
Crowns is a stage play by Regina Taylor that celebrates African American women’s history, spirituality, and resilience through the cultural symbolism of church hats.
|
E792979
|
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: Crowns | Statement: [Regina Taylor, notableWork, Crowns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowns Context triple: [Regina Taylor, notableWork, Crowns]
-
A.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
B.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
C.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
-
D.
Crownies
Crownies is an Australian legal drama television series that follows a group of young solicitors working in the Office of the Director of Public Prosecutions.
-
E.
Rings
"Rings" is a film score composed by Matthew Margeson for the 2017 supernatural horror movie of the same name.
- 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: Crowns Triple: [Regina Taylor, notableWork, Crowns]
Generated description
Crowns is a stage play by Regina Taylor that celebrates African American women’s history, spirituality, and resilience through the cultural symbolism of church hats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crowns Target entity description: Crowns is a stage play by Regina Taylor that celebrates African American women’s history, spirituality, and resilience through the cultural symbolism of church hats.
-
A.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
B.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
C.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
-
D.
Crownies
Crownies is an Australian legal drama television series that follows a group of young solicitors working in the Office of the Director of Public Prosecutions.
-
E.
Rings
"Rings" is a film score composed by Matthew Margeson for the 2017 supernatural horror movie of the same name.
- F. None of above. chosen
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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e41ccdcc8190b2939716984b2c7b |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.