Triple
T7693056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone de Beauvoir Foundation |
E174295
|
entity |
| Predicate | honorsWithPrize |
P13060
|
FINISHED |
| Object | individuals |
—
|
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: individuals | Statement: [Simone de Beauvoir Foundation, honorsWithPrize, individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsWithPrize Context triple: [Simone de Beauvoir Foundation, honorsWithPrize, individuals]
-
A.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
B.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
C.
holderAward
Indicates that an entity has received, possesses, or is the recipient of a particular award.
-
D.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
E.
includesHonoraryAwardsFor
chosen
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.