Triple
T17664763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Hitchcock Doorly |
E440347
|
entity |
| Predicate | hasNotableAwardOrHonor |
P36838
|
FINISHED |
| Object | namesake of Henry Doorly Zoo and Aquarium |
—
|
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: namesake of Henry Doorly Zoo and Aquarium | Statement: [Margaret Hitchcock Doorly, hasNotableAwardOrHonor, namesake of Henry Doorly Zoo and Aquarium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAwardOrHonor Context triple: [Margaret Hitchcock Doorly, hasNotableAwardOrHonor, namesake of Henry Doorly Zoo and Aquarium]
-
A.
hasNotableHonor
chosen
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
-
B.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
C.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
-
D.
hasNotableAchievements
Indicates that the subject possesses significant accomplishments, distinctions, or recognitions that are considered noteworthy.
-
E.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
- F. None of above.
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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea8accc8190beea0900b0614020 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:55 a.m.