Triple
T18151593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest L. Boyer |
E434514
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Cindy Boyer
Cindy Boyer is one of the children of Ernest L. Boyer, the influential American educator and former U.S. Commissioner of Education.
|
E1310398
|
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: Cindy Boyer | Statement: [Ernest L. Boyer, hasChild, Cindy Boyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Boyer Context triple: [Ernest L. Boyer, hasChild, Cindy Boyer]
-
A.
Cindy Morgan
Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Cindy Russell
Cindy Russell is a musician best known for her role in the American punk rock band Babes in Toyland.
-
D.
Christine Boyer
Christine Boyer was the first wife of Lucien Bonaparte and a member by marriage of the influential Bonaparte family during the Napoleonic era.
-
E.
Bonnie Boyer
Bonnie Boyer is an American singer and musician best known for performing and touring with Prince during the late 1980s.
- 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: Cindy Boyer Triple: [Ernest L. Boyer, hasChild, Cindy Boyer]
Generated description
Cindy Boyer is one of the children of Ernest L. Boyer, the influential American educator and former U.S. Commissioner of Education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cindy Boyer Target entity description: Cindy Boyer is one of the children of Ernest L. Boyer, the influential American educator and former U.S. Commissioner of Education.
-
A.
Cindy Morgan
Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Cindy Russell
Cindy Russell is a musician best known for her role in the American punk rock band Babes in Toyland.
-
D.
Christine Boyer
Christine Boyer was the first wife of Lucien Bonaparte and a member by marriage of the influential Bonaparte family during the Napoleonic era.
-
E.
Bonnie Boyer
Bonnie Boyer is an American singer and musician best known for performing and touring with Prince during the late 1980s.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de38d4e08190bc4d430b70b7e288 |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397f6fef08190ada4c3ae35d93465 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a03992526788190a871db7c148ce467 |
completed | May 12, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0399b800408190bbbc01496a926b8a |
completed | May 12, 2026, 9:20 p.m. |
Created at: April 10, 2026, 10:29 a.m.