Triple
T14956141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chazz Michael Michaels |
E372931
|
entity |
| Predicate | laterForms |
P116824
|
FINISHED |
| Object | pairs team with Jimmy MacElroy |
—
|
LITERAL 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: pairs team with Jimmy MacElroy | Statement: [Chazz Michael Michaels, laterForms, pairs team with Jimmy MacElroy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterForms Context triple: [Chazz Michael Michaels, laterForms, pairs team with Jimmy MacElroy]
-
A.
subsequentForm
Indicates that one form, version, or state of something occurs later in sequence or development than another.
-
B.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
C.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
D.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
E.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
- F. None of above. chosen
Provenance (4 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.