Triple
T16100972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mullen |
E390618
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Sean Mullen |
E597751
|
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: Sean Mullen | Statement: [Tom Mullen, hasChild, Sean Mullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Mullen Context triple: [Tom Mullen, hasChild, Sean Mullen]
-
A.
Sean Mullen
chosen
Sean Mullen is a relatively obscure individual whose name is notably associated with the surname Mullen.
-
B.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
-
C.
Matt Nokes
Matt Nokes is a former Major League Baseball catcher, best known for his All-Star rookie season with the Detroit Tigers in 1987.
-
D.
Ryan Merriman
Ryan Merriman is an American actor best known for his roles in films like "Final Destination 3" and several Disney Channel movies, as well as television series such as "Pretty Little Liars."
-
E.
Patrick Mullen
Patrick Mullen is a personal name shared by multiple individuals, including figures in fields such as sports, academia, and the arts.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff68686481909517eed4266729ca |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9d6140819087f9b3dc549c4aec |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.