Triple
T15262924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermaine Dye |
E364830
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dye
Dye is a common English surname of occupational origin, historically associated with people who worked with dyes or colors.
|
E1146693
|
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: Dye | Statement: [Jermaine Dye, familyName, Dye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dye Context triple: [Jermaine Dye, familyName, Dye]
-
A.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
B.
Farben
Farben is the third movement of Arnold Schoenberg's Five Orchestral Pieces, Op. 16, noted for its innovative use of tone color and static harmonies.
-
C.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
D.
Earthtone III
Earthtone III is the in-house production team formed by OutKast members André 3000 and Big Boi with engineer Mr. DJ, known for crafting the duo’s innovative, genre-blending sound.
-
E.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
- 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: Dye Triple: [Jermaine Dye, familyName, Dye]
Generated description
Dye is a common English surname of occupational origin, historically associated with people who worked with dyes or colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dye Target entity description: Dye is a common English surname of occupational origin, historically associated with people who worked with dyes or colors.
-
A.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
B.
Farben
Farben is the third movement of Arnold Schoenberg's Five Orchestral Pieces, Op. 16, noted for its innovative use of tone color and static harmonies.
-
C.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
D.
Earthtone III
Earthtone III is the in-house production team formed by OutKast members André 3000 and Big Boi with engineer Mr. DJ, known for crafting the duo’s innovative, genre-blending sound.
-
E.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee805f5bc8190a6095e3c374f3441 |
completed | May 9, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee8e4dc688190bd597f8d710c8afc |
completed | May 9, 2026, 7:57 a.m. |
Created at: April 10, 2026, 3:14 a.m.