Triple
T23752652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Thornberry |
E587012
|
entity |
| Predicate | abilityIsSecretFrom |
P153557
|
FINISHED |
| Object | most humans |
—
|
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: most humans | Statement: [Eliza Thornberry, abilityIsSecretFrom, most humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abilityIsSecretFrom Context triple: [Eliza Thornberry, abilityIsSecretFrom, most humans]
-
A.
canBeSecret
Indicates that something has the potential or suitability to be kept hidden or confidential from others.
-
B.
secretedBy
Indicates that a substance or product is released or produced by a particular cell, tissue, organ, or organism.
-
C.
hasSecretLevel
Indicates that an entity is associated with a particular secrecy or security classification level.
-
D.
hasTypeOfSecrecy
Indicates that something is associated with a particular kind or level of secrecy.
-
E.
isRevealedTo
Indicates that previously hidden or unknown information becomes known to a specific entity or group.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc3a06c81908e8a6e1f531c73bc |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:13 p.m.