Triple
T7728327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leontyne Price |
E175188
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Violet
Violet is the given first name of the renowned American opera singer Leontyne Price.
|
E684195
|
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: Violet | Statement: [Leontyne Price, givenName, Violet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Violet Context triple: [Leontyne Price, givenName, Violet]
-
A.
Violet
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
-
B.
Violet
Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
-
C.
Violet
Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
-
D.
Violeta
Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
-
E.
Violet Eyes
Violet Eyes is a celebrity-branded fragrance from House of Taylor, inspired by and named in honor of Elizabeth Taylor’s iconic violet-colored eyes.
- 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: Violet Triple: [Leontyne Price, givenName, Violet]
Generated description
Violet is the given first name of the renowned American opera singer Leontyne Price.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Violet Target entity description: Violet is the given first name of the renowned American opera singer Leontyne Price.
-
A.
Violet
Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
-
B.
Violet
Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
-
C.
Violet
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
-
D.
Violeta
Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
-
E.
Violet Eyes
Violet Eyes is a celebrity-branded fragrance from House of Taylor, inspired by and named in honor of Elizabeth Taylor’s iconic violet-colored eyes.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70315e8e88190a5c7e5d2f2ef66bc |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52adf6481908cb78e7cc7c4266d |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b5e091048190a105cb6743a6d69d |
completed | March 29, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b68f44148190b08882625db98f96 |
completed | March 29, 2026, 5:20 a.m. |
Created at: March 27, 2026, 4:06 p.m.