Triple
T5655286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Ian Wood |
E124601
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Wood
Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
|
E635971
|
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: Helen Wood | Statement: [Sir Ian Wood, spouse, Helen Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Wood Context triple: [Sir Ian Wood, spouse, Helen Wood]
-
A.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
B.
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
C.
Helen Tasker
Helen Tasker is a central character in the action-comedy film "True Lies," portrayed as the unsuspecting wife of a secret agent whose ordinary life is upended by her husband's covert world of espionage.
-
D.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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: Helen Wood Triple: [Sir Ian Wood, spouse, Helen Wood]
Generated description
Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Wood Target entity description: Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
-
A.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
B.
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
C.
Helen Tasker
Helen Tasker is a central character in the action-comedy film "True Lies," portrayed as the unsuspecting wife of a secret agent whose ordinary life is upended by her husband's covert world of espionage.
-
D.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769cd39e081908624c8471b9131a1 |
completed | March 28, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_69c76da6e9e4819097c42d5a74efb3e7 |
completed | March 28, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76e01a3fc8190b766188a0c243385 |
completed | March 28, 2026, 5:58 a.m. |
Created at: March 22, 2026, 3:42 p.m.