Triple
T5203025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waiting for Godot |
E117439
|
entity |
| Predicate | firstEnglishLanguageProductionDate |
P62463
|
FINISHED |
| Object | 1955-08-03 |
—
|
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: 1955-08-03 | Statement: [Waiting for Godot, firstEnglishLanguageProductionDate, 1955-08-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEnglishLanguageProductionDate Context triple: [Waiting for Godot, firstEnglishLanguageProductionDate, 1955-08-03]
-
A.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
B.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
C.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
-
D.
firstCommercialReleaseYear
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
E.
firstEnglishTranslationYear
Indicates the year in which an entity was first translated into English.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7ad9bdd88190ae8aa6f4aba695a7 |
completed | March 20, 2026, 4:50 p.m. |
Created at: March 20, 2026, 1:47 p.m.