Triple
T33649380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Mac |
E862048
|
entity |
| Predicate | hasDistinctSide |
P151245
|
FINISHED |
| Object | Mighty |
—
|
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: Mighty | Statement: [Mighty Mac, hasDistinctSide, Mighty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctSide Context triple: [Mighty Mac, hasDistinctSide, Mighty]
-
A.
hasSideIn
Indicates that an entity participates as a side or party in a specified relationship, interaction, or conflict.
-
B.
hasASideOf
chosen
Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
-
C.
hasDistinctFeature
Indicates that an entity possesses a specific characteristic or attribute that differentiates it from others.
-
D.
hasDistinctSetFor
Indicates that one entity is associated with a separate, non-overlapping collection of items or elements specifically designated for another entity.
-
E.
isOneOfSidesOf
Indicates that an entity is one of the boundary edges or lateral faces that form part of another entity.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 1, 2026, 1:42 a.m.