Triple
T6712048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward Bond |
E153167
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wardell
Wardell is the given first name of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and Westerns.
|
E613131
|
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: Wardell | Statement: [Ward Bond, givenName, Wardell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wardell Context triple: [Ward Bond, givenName, Wardell]
-
A.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
B.
Wendell
Wendell is a masculine given name of English origin that gained prominence in the United States, notably borne by figures such as abolitionist orator Wendell Phillips.
-
C.
Pagford
Pagford is the fictional English village that serves as the primary setting of J.K. Rowling’s novel "The Casual Vacancy," characterized by its seemingly idyllic facade and underlying social tensions.
-
D.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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: Wardell Triple: [Ward Bond, givenName, Wardell]
Generated description
Wardell is the given first name of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and Westerns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wardell Target entity description: Wardell is the given first name of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and Westerns.
-
A.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
B.
Wendell
Wendell is a masculine given name of English origin that gained prominence in the United States, notably borne by figures such as abolitionist orator Wendell Phillips.
-
C.
Pagford
Pagford is the fictional English village that serves as the primary setting of J.K. Rowling’s novel "The Casual Vacancy," characterized by its seemingly idyllic facade and underlying social tensions.
-
D.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d108acc08190b38b43161d8912b9 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700924fdc8190990187fbc1b3ab20 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c70386196c81909d46894f783ef87a |
completed | March 27, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7045cda0481908982c7c7e8dc11e5 |
completed | March 27, 2026, 10:27 p.m. |
Created at: March 27, 2026, 2:07 p.m.