Triple
T29954218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Foxwell |
E760849
|
entity |
| Predicate | relationshipTypeWithJonas |
P203721
|
FINISHED |
| Object | rival |
—
|
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: rival | Statement: [Liam Foxwell, relationshipTypeWithJonas, rival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJonas Context triple: [Liam Foxwell, relationshipTypeWithJonas, rival]
-
A.
relationshipToJoni
Indicates the specific familial, social, or professional connection that one entity has to the person or entity named Joni.
-
B.
relationshipTypeWithJohnLuther
Indicates the specific nature or category of the relationship an entity has with John Luther.
-
C.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
-
D.
relationshipTypeWithKatnissEverdeen
Indicates the type or nature of the relationship an entity has with Katniss Everdeen.
-
E.
relationshipTypeWithJonArbuckle
Indicates the specific nature or category of relationship that an entity has with Jon Arbuckle.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01d339feac8190a3de56b24db67163 |
completed | May 11, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_6a01d2bc1f408190a04869f95e6941ee |
completed | May 11, 2026, 12:59 p.m. |
| PDg | Predicate description generation | batch_6a01d3394e0481909ec86ddd283e76c5 |
completed | May 11, 2026, 1:01 p.m. |
Created at: April 29, 2026, 6:26 p.m.