Triple
T38212515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holly Berenson |
E1010587
|
entity |
| Predicate | initialRelationshipWithEricMesser |
P194224
|
FINISHED |
| Object | dislikes him |
—
|
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: dislikes him | Statement: [Holly Berenson, initialRelationshipWithEricMesser, dislikes him]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialRelationshipWithEricMesser Context triple: [Holly Berenson, initialRelationshipWithEricMesser, dislikes him]
-
A.
relationshipToEricForman
Indicates a specified type of personal or social relationship that an entity has with Eric Forman.
-
B.
relationshipTypeWithErica
Indicates the specific nature or category of relationship that an entity has with Erica.
-
C.
relationshipToEdMercer
Indicates the type of personal or professional relationship an entity has with Ed Mercer.
-
D.
relationshipToEricPacker
Indicates the specific type of relationship or connection an entity has to Eric Packer.
-
E.
initialRelationshipWithGerryBertier
Indicates the nature or status of an entity’s first or early relationship with Gerry Bertier.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:30 p.m.