Triple
T22429822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timuel Black |
E554468
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Timuel
Timuel is a masculine given name most notably borne by the American historian, civil rights activist, and educator Timuel D. Black Jr.
|
E1535074
|
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: Timuel | Statement: [Timuel Black, givenName, Timuel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timuel Context triple: [Timuel Black, givenName, Timuel]
-
A.
Sylvanus
Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
-
B.
Tylor Tuskmon
Tylor Tuskmon is the ambitious young monster mechanic who becomes the central protagonist of the animated series "Monsters at Work," navigating his career at Monsters, Inc. in the era of laugh power.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Jeffrey
"Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
- 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: Timuel Triple: [Timuel Black, givenName, Timuel]
Generated description
Timuel is a masculine given name most notably borne by the American historian, civil rights activist, and educator Timuel D. Black Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timuel Target entity description: Timuel is a masculine given name most notably borne by the American historian, civil rights activist, and educator Timuel D. Black Jr.
-
A.
Sylvanus
Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
-
B.
Tylor Tuskmon
Tylor Tuskmon is the ambitious young monster mechanic who becomes the central protagonist of the animated series "Monsters at Work," navigating his career at Monsters, Inc. in the era of laugh power.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Jeffrey
"Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a30109481908724a0cf7596d105 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f73d64819092b457958af9ad79 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af1c05bf8819089fd76b6a03a87d0 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af255240c8190a2ba805b1b4d72de |
completed | May 18, 2026, 11:04 a.m. |
Created at: April 16, 2026, 8:47 p.m.