Triple
T15108977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neale |
E360859
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Walter Neale
Walter Neale is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Neale.
|
E1138863
|
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: Walter Neale | Statement: [Neale, hasNotableBearer, Walter Neale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Neale Context triple: [Neale, hasNotableBearer, Walter Neale]
-
A.
Walter Nelson
Walter Nelson was an attorney who served on the defense team in the landmark Ossian Sweet murder trial, which challenged racial injustice in 1920s Detroit.
-
B.
Walter Sillers
Walter Sillers was a prominent Mississippi political figure whose influence and legacy in the state led to major public buildings being named in his honor.
-
C.
Walter Eckland
Walter Eckland is the gruff, reluctant hero and boozy beachcomber-turned-lookout portrayed by Cary Grant in the World War II comedy film "Father Goose."
-
D.
Walter Carroll
Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
-
E.
Francis Neale
Francis Neale was an American Jesuit priest and educator active in the early development of Catholic institutions in the United States.
- 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: Walter Neale Triple: [Neale, hasNotableBearer, Walter Neale]
Generated description
Walter Neale is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Neale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Neale Target entity description: Walter Neale is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Neale.
-
A.
Walter Nelson
Walter Nelson was an attorney who served on the defense team in the landmark Ossian Sweet murder trial, which challenged racial injustice in 1920s Detroit.
-
B.
Walter Sillers
Walter Sillers was a prominent Mississippi political figure whose influence and legacy in the state led to major public buildings being named in his honor.
-
C.
Walter Eckland
Walter Eckland is the gruff, reluctant hero and boozy beachcomber-turned-lookout portrayed by Cary Grant in the World War II comedy film "Father Goose."
-
D.
Walter Carroll
Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
-
E.
Francis Neale
Francis Neale was an American Jesuit priest and educator active in the early development of Catholic institutions in the United States.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eb139c8190b76393e4a8be576b |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb9f7b6d88190886fd65ce736ed1b |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febaa20ffc819090dd4b113d8513d7 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 10, 2026, 3:05 a.m.