Triple
T13948405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quagmire family |
E335449
|
entity |
| Predicate | relationshipToBaudelaires |
P112369
|
FINISHED |
| Object | close friends |
—
|
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: close friends | Statement: [Quagmire family, relationshipToBaudelaires, close friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToBaudelaires Context triple: [Quagmire family, relationshipToBaudelaires, close friends]
-
A.
relationshipToBenjy
Indicates the specific type of relationship or connection an entity has to Benjy.
-
B.
relationshipToOdette
Indicates the specific familial, social, or interpersonal connection that an entity has with Odette.
-
C.
relationshipToTinaBordereau
Indicates the specific type of personal or professional relationship an entity has with Tina Bordereau.
-
D.
relationshipToGoriot
Indicates the type or nature of a person's relationship to Goriot.
-
E.
relationshipToBlancheDuBois
Indicates the specific familial, social, or interpersonal connection an entity has with Blanche DuBois.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.