Triple
T16809954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister T (animated series) |
E408580
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mister 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: Mister T | Statement: [Mister T (animated series), alsoKnownAs, Mister T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mister T Context triple: [Mister T (animated series), alsoKnownAs, Mister T]
-
A.
Mr. T
Mr. T is the internal codename for the original Macintosh Plus personal computer developed by Apple in the mid-1980s.
-
B.
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.
-
C.
Mickey Dawson
Mickey Dawson is a fictional character who becomes the kidnapped wife at the center of the darkly comic crime plot in Elmore Leonard’s novel "The Switch" and its film adaptation.
-
D.
Mickey Goldmill
Mickey Goldmill is the gruff, old-school boxing trainer and mentor of Rocky Balboa in the "Rocky" film series.
-
E.
Don Stroud
Don Stroud is an American character actor and former surfer known for his tough-guy roles in numerous films and television series from the 1960s onward.
- 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_6a012327b68881908ad5f4e2fe03f56a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:23 a.m.