Triple
T29576044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titan |
E753444
|
entity |
| Predicate | commonDesignation |
P116039
|
FINISHED |
| Object | Mahler 1 |
—
|
NE NERFINISHED |
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: Mahler 1 | Statement: [Titan, commonDesignation, Mahler 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDesignation Context triple: [Titan, commonDesignation, Mahler 1]
-
A.
typicalDesignation
chosen
Indicates that one entity is the usual or commonly used designation (name, label, or title) for another entity.
-
B.
associatedDesignation
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
-
C.
collectiveDesignationOf
Indicates that one entity serves as the collective or group name by which a set of entities is designated.
-
D.
modernDesignation
Indicates the current or contemporary name, label, or classification now used for something that previously had a different designation.
-
E.
eraDesignation
Indicates the specific historical or chronological era associated with an entity or event.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 28, 2026, 6:03 p.m.