Triple
T12288910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodard |
E292901
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ian Woodard
Ian Woodard is an individual notable enough to be recognized as a namesake of the surname Woodard.
|
E981710
|
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: Ian Woodard | Statement: [Woodard, hasNotableBearer, Ian Woodard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Woodard Context triple: [Woodard, hasNotableBearer, Ian Woodard]
-
A.
David Woodard
David Woodard is an American conductor, writer, and inventor known for his work with dreamachine devices and for conducting memorial and ceremonial music.
-
B.
Tony Woodley
Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
-
C.
Mark Woodward
Mark Woodward is the son of Welsh singer Tom Jones, known for his work as his father's longtime manager.
-
D.
Ian Hallard
Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
-
E.
Jonathan Ward
Jonathan Ward is an American actor best known for his work in 1980s film and television, including leading roles in family and science fiction movies.
- 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: Ian Woodard Triple: [Woodard, hasNotableBearer, Ian Woodard]
Generated description
Ian Woodard is an individual notable enough to be recognized as a namesake of the surname Woodard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ian Woodard Target entity description: Ian Woodard is an individual notable enough to be recognized as a namesake of the surname Woodard.
-
A.
David Woodard
David Woodard is an American conductor, writer, and inventor known for his work with dreamachine devices and for conducting memorial and ceremonial music.
-
B.
Tony Woodley
Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
-
C.
Mark Woodward
Mark Woodward is the son of Welsh singer Tom Jones, known for his work as his father's longtime manager.
-
D.
Ian Hallard
Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
-
E.
Jonathan Ward
Jonathan Ward is an American actor best known for his work in 1980s film and television, including leading roles in family and science fiction movies.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d21692481908c97edc3d602f1d5 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634667db88190ac1368dc38daac73 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f637575a9c8190b677b59e9739af49 |
completed | May 2, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:52 p.m.