Triple
T31425572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El gallardo español |
E801652
|
entity |
| Predicate | performanceStatus |
P195239
|
FINISHED |
| Object | unperformed in Cervantes’ lifetime |
—
|
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: unperformed in Cervantes’ lifetime | Statement: [El gallardo español, performanceStatus, unperformed in Cervantes’ lifetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceStatus Context triple: [El gallardo español, performanceStatus, unperformed in Cervantes’ lifetime]
-
A.
runtimeStatus
Indicates the current operational state or condition of an entity while it is running or executing.
-
B.
programStatus
Indicates the current state or condition of a program within its lifecycle (e.g., planned, active, paused, completed, or terminated).
-
C.
maintenanceStatus
Indicates the current state or condition of an entity with respect to its maintenance activities, such as whether it is pending, in progress, completed, or overdue.
-
D.
automationStatus
Indicates whether a process, task, or system is being performed automatically or requires manual intervention.
-
E.
operatorStatus
Indicates the current operational state or condition of an operator (e.g., active, inactive, or in error).
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 30, 2026, 8:52 p.m.