Triple
T17095036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Hughes |
E414824
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dan Stewart
Dan Stewart is known primarily as the husband of former Australian Test cricket captain Kim Hughes.
|
E1255102
|
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: Dan Stewart | Statement: [Kim Hughes, spouse, Dan Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Stewart Context triple: [Kim Hughes, spouse, Dan Stewart]
-
A.
Daniel Stewart
Daniel Stewart is a British actor known for his work in television and theatre and as the son of renowned actor Sir Patrick Stewart.
-
B.
Daniel Stewart
Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
-
C.
Scott Stewart
Scott Stewart is an American filmmaker and visual effects artist best known for directing supernatural action films such as "Legion" (2010).
-
D.
Todd Stewart
Todd Stewart is a collegiate sports administrator best known for serving as the athletic director at Western Kentucky University.
-
E.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
- 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: Dan Stewart Triple: [Kim Hughes, spouse, Dan Stewart]
Generated description
Dan Stewart is known primarily as the husband of former Australian Test cricket captain Kim Hughes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Stewart Target entity description: Dan Stewart is known primarily as the husband of former Australian Test cricket captain Kim Hughes.
-
A.
Daniel Stewart
Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
-
B.
Daniel Stewart
Daniel Stewart is a British actor known for his work in television and theatre and as the son of renowned actor Sir Patrick Stewart.
-
C.
Scott Stewart
Scott Stewart is an American filmmaker and visual effects artist best known for directing supernatural action films such as "Legion" (2010).
-
D.
Todd Stewart
Todd Stewart is a collegiate sports administrator best known for serving as the athletic director at Western Kentucky University.
-
E.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fbe1d4c81909ce7e4626516b51d |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a01609159f881908b1d227ce45316db |
completed | May 11, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016118db2c8190adcdd89cbaa6001e |
completed | May 11, 2026, 4:54 a.m. |
Created at: April 10, 2026, 5:35 a.m.