Triple
T19998899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How It’s Made |
E494266
|
entity |
| Predicate | narrationBy |
P2181
|
FINISHED |
| Object |
June Wallack
June Wallack is a narrator best known for providing the voiceover on the documentary television series "How It’s Made."
|
E1478194
|
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: June Wallack | Statement: [How It’s Made, narrationBy, June Wallack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Wallack Context triple: [How It’s Made, narrationBy, June Wallack]
-
A.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Eileen Hale
Eileen Hale was the wife of influential American street photographer Garry Winogrand.
-
D.
Eileen Wilson
Eileen Wilson was the first wife of classic Hollywood actor William Powell, with whom she had a son before their marriage ended in divorce.
-
E.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
- 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: June Wallack Triple: [How It’s Made, narrationBy, June Wallack]
Generated description
June Wallack is a narrator best known for providing the voiceover on the documentary television series "How It’s Made."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: June Wallack Target entity description: June Wallack is a narrator best known for providing the voiceover on the documentary television series "How It’s Made."
-
A.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Eileen Hale
Eileen Hale was the wife of influential American street photographer Garry Winogrand.
-
D.
Eileen Wilson
Eileen Wilson was the first wife of classic Hollywood actor William Powell, with whom she had a son before their marriage ended in divorce.
-
E.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5a0922081909d31e5387fab9307 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a661daf48190a8a185395e334470 |
completed | May 17, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a6ba6dfc8190841f4b254acf5a4d |
completed | May 17, 2026, 11:30 a.m. |
Created at: April 11, 2026, 3:32 p.m.