Triple
T8817181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Muggli |
E209806
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Michael Strahan |
E3076
|
NE FINISHED |
How this triple was built (2 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: Michael Strahan | Statement: [Jean Muggli, hasRelative, Michael Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Strahan Context triple: [Jean Muggli, hasRelative, Michael Strahan]
-
A.
Michael Strahan
chosen
Michael Strahan is a former NFL defensive end, best known for his dominant career with the New York Giants and subsequent work as a television personality and host.
-
B.
Art Strahan
Art Strahan is a former American football player best known as the uncle of Pro Football Hall of Famer and television personality Michael Strahan.
-
C.
Ben Marino
Ben Marino is a character in the musical "Fiorello!" who serves as a politically savvy associate within the world of New York City machine politics.
-
D.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
E.
Al Roker
Al Roker is a longtime American television weather presenter and personality best known for his work on NBC’s Today show.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa05742948190bcec72a080f6837a |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:46 p.m.