Triple
T16810016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. T Cereal |
E408582
|
entity |
| Predicate | themedAround |
P5290
|
FINISHED |
| Object | TV personality Mr. T |
E84003
|
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: TV personality Mr. T | Statement: [Mr. T Cereal, themedAround, TV personality Mr. T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV personality Mr. T Context triple: [Mr. T Cereal, themedAround, TV personality Mr. T]
-
A.
Mr. T
chosen
Mr. T is an American actor and former professional wrestler best known for his tough-guy persona, distinctive mohawk and gold chains, and iconic roles in 1980s pop culture.
-
B.
Mr. T
Mr. T is the internal codename for the original Macintosh Plus personal computer developed by Apple in the mid-1980s.
-
C.
Chuck Woolery
Chuck Woolery is an American television personality best known as a longtime game show host on programs such as Wheel of Fortune and Love Connection.
-
D.
Steve Tannen
Steve Tannen is an American singer-songwriter best known as one half of the indie-folk duo The Weepies.
-
E.
John Barry Humphries
John Barry Humphries was an Australian comedian, actor, satirist, and writer best known for creating the flamboyant character Dame Edna Everage.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.