Triple
T19854950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esprit |
E477105
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Esprit de Corp. |
—
|
NE NERFINISHED |
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: Esprit de Corp. | Statement: [Esprit, hasBrand, Esprit de Corp.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esprit de Corp. Context triple: [Esprit, hasBrand, Esprit de Corp.]
-
A.
Esprit
chosen
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
B.
Inter&Co
Inter&Co is a Brazilian digital financial services company known for offering banking, investment, and insurance products through a unified online platform.
-
C.
Terre des hommes
Terre des hommes is a 1939 philosophical memoir by Antoine de Saint-Exupéry reflecting on aviation, humanism, and the meaning of human solidarity.
-
D.
Spectra Fashions
Spectra Fashions is a fictional, budget-conscious fashion house and longtime rival of Forrester Creations on the soap opera "The Bold and the Beautiful."
-
E.
Lemaire
Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.