Triple
T23516018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermopolis |
E574368
|
entity |
| Predicate | hasCharacterWithSurname |
P152693
|
FINISHED |
| Object | Mia Thermopolis |
—
|
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: Mia Thermopolis | Statement: [Thermopolis, hasCharacterWithSurname, Mia Thermopolis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterWithSurname Context triple: [Thermopolis, hasCharacterWithSurname, Mia Thermopolis]
-
A.
hasComponentSurname
Indicates that an entity’s full name includes a specified surname as one of its component parts.
-
B.
hasMemberBySurname
Indicates that a group or collection includes a member identified by a specific surname.
-
C.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
D.
hasSeptSurname
Indicates that an entity bears a surname associated with a particular sept (a family subgroup or clan division).
-
E.
hasBaseSurname
Indicates that an entity’s surname is derived from, or fundamentally corresponds to, a specified base or canonical surname.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:08 p.m.