Triple
T35563198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biff Baker, U.S.A. |
E1027692
|
entity |
| Predicate | followedCharacters |
P198892
|
FINISHED |
| Object | globe-trotting couple |
—
|
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: globe-trotting couple | Statement: [Biff Baker, U.S.A., followedCharacters, globe-trotting couple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedCharacters Context triple: [Biff Baker, U.S.A., followedCharacters, globe-trotting couple]
-
A.
followedCharacter
Indicates that one character moved or acted in such a way as to go after and stay behind another character, tracking their path or movement.
-
B.
followedCharacterFrom
Indicates that one character moved along the same path or trajectory previously taken by another character.
-
C.
followedPerson
Indicates that one person has chosen to follow another person, typically to receive updates or track their activities.
-
D.
followsCharactersFrom
Indicates that one entity continues or tracks the narrative, actions, or developments involving specific characters from another entity.
-
E.
followsCharacter
Indicates that one character moves or acts after another character, maintaining a trailing or subsequent position or sequence relative to them.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
| PDg | Predicate description generation | batch_69ff10956d3881909144f880f92e90c4 |
completed | May 9, 2026, 10:46 a.m. |
Created at: May 3, 2026, 4:04 p.m.