Triple
T37595822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spahn Ranch (Once Upon a Time in Hollywood) |
E935381
|
entity |
| Predicate | connectedToCharacterGroup |
P47706
|
FINISHED |
| Object | hippie commune |
—
|
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: hippie commune | Statement: [Spahn Ranch (Once Upon a Time in Hollywood), connectedToCharacterGroup, hippie commune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToCharacterGroup Context triple: [Spahn Ranch (Once Upon a Time in Hollywood), connectedToCharacterGroup, hippie commune]
-
A.
associatedWithCharacterGroup
chosen
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
B.
connectsCharacter
Indicates that one character is linked or associated with another in some meaningful way.
-
C.
createdByCharacterGroup
Indicates that something was created collectively by a specific group of characters acting together.
-
D.
belongsToCharacter
Indicates that something is owned, associated with, or under the domain of a particular character.
-
E.
hasCharacterAssociated
Indicates that one entity is linked to or connected with a particular character (such as a person, figure, or persona) in some relevant way.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:18 p.m.