Triple
T15047894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Baxter |
E379277
|
entity |
| Predicate | romanticInvolvementType |
P82370
|
FINISHED |
| Object | casual relationship with Henry Best |
—
|
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: casual relationship with Henry Best | Statement: [Freddie Baxter, romanticInvolvementType, casual relationship with Henry Best]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticInvolvementType Context triple: [Freddie Baxter, romanticInvolvementType, casual relationship with Henry Best]
-
A.
romanticRelationshipStatus
chosen
Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
-
B.
relationshipOutcome
Indicates the result or consequence that arises from a particular relationship between two or more entities.
-
C.
relationshipDevelopsWith
Indicates that a relationship grows, evolves, or becomes more developed between two entities over time.
-
D.
relationshipStatusDuringFilm
Indicates the type or state of a relationship between entities specifically during the time period in which a film takes place or is produced.
-
E.
relationshipDurationWith
Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3 a.m.