Triple
T14724307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegra Leguizamo |
E345895
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Allegra |
E865611
|
NE 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: Allegra | Statement: [Allegra Leguizamo, givenName, Allegra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allegra Context triple: [Allegra Leguizamo, givenName, Allegra]
-
A.
Allegra
Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
-
B.
Allegra
chosen
Allegra is a feminine given name of Italian origin meaning "joyful" or "lively."
-
C.
Zyrtec
Zyrtec is a widely used over-the-counter antihistamine medication primarily taken to relieve allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
-
D.
Benadryl
Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
-
E.
ebastine
Ebastine is a second-generation, non-sedating antihistamine used primarily to treat allergic rhinitis and chronic urticaria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09791e081908a1262717fd31445 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.