Triple
T9906932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya Haden |
E185032
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Samuel Black
Samuel Black is a child of American artist and musician Tanya Haden and her husband, actor and comedian Jack Black.
|
E215690
|
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: Samuel Black | Statement: [Tanya Haden, hasChild, Samuel Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Black Context triple: [Tanya Haden, hasChild, Samuel Black]
-
A.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
-
B.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
C.
Samuel Spencer
Samuel Spencer was a prominent North Carolina jurist and Revolutionary-era political leader known for his influential Anti-Federalist stance during debates over the U.S. Constitution.
-
D.
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
-
E.
Samuel Dale
Samuel Dale was an American frontiersman, soldier, and politician known for his role in the Creek War and early Alabama history.
- 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: Samuel Black Triple: [Tanya Haden, hasChild, Samuel Black]
Generated description
Samuel Black is a child of American artist and musician Tanya Haden and her husband, actor and comedian Jack Black.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Black Target entity description: Samuel Black is a child of American artist and musician Tanya Haden and her husband, actor and comedian Jack Black.
-
A.
Samuel Black
chosen
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
-
B.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
C.
Samuel Spencer
Samuel Spencer was a prominent North Carolina jurist and Revolutionary-era political leader known for his influential Anti-Federalist stance during debates over the U.S. Constitution.
-
D.
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
-
E.
Samuel Dale
Samuel Dale was an American frontiersman, soldier, and politician known for his role in the Creek War and early Alabama history.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb346c7081908300e54cd639b027 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ecc024848190b64a87dd6fb22c0f |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed8cc0b48190aee4d6ddec1921b4 |
completed | April 5, 2026, 5:05 a.m. |
Created at: March 30, 2026, 8:41 p.m.