Triple
T168983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Strahan |
E3076
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Strahan
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
|
E32074
|
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: Strahan | Statement: [Michael Strahan, familyName, Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strahan Context triple: [Michael Strahan, familyName, Strahan]
-
A.
Mackay
Mackay is a coastal city in eastern Australia known for its sugar cane industry and proximity to the Great Barrier Reef.
-
B.
Fallon
Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
-
C.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
E.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
- 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: Strahan Triple: [Michael Strahan, familyName, Strahan]
Generated description
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strahan Target entity description: Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
-
A.
Mackay
Mackay is a coastal city in eastern Australia known for its sugar cane industry and proximity to the Great Barrier Reef.
-
B.
Fallon
Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
-
C.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
E.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736b2ff081909a5b36a93fa16130 |
completed | Feb. 28, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69a3741398148190b33de6d93ccc0725 |
completed | Feb. 28, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3746ba85c8190bd45c2a5717317dc |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.