Triple
T20425841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy (Waiting for Godot) |
E500997
|
entity |
| Predicate | emotionalEffectOn |
P84862
|
FINISHED |
| Object | Estragon |
—
|
NE NERFINISHED |
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: Estragon | Statement: [Boy (Waiting for Godot), emotionalEffectOn, Estragon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estragon Context triple: [Boy (Waiting for Godot), emotionalEffectOn, Estragon]
-
A.
Estragon
chosen
Estragon is one of the two tramps in Samuel Beckett’s absurdist play "Waiting for Godot," known for his forgetfulness, physical suffering, and comic, childlike dependence on his companion Vladimir.
-
B.
Schaunard
Schaunard is a lively and eccentric musician who is one of the four bohemian friends in Giacomo Puccini’s opera *La Bohème*.
-
C.
Gallimard
Gallimard is a major French publishing house renowned for its influential catalog of literary works and its central role in 20th- and 21st-century French literature.
-
D.
Jourdain
Jourdain is a Paris Métro station on the city’s northeastern network, located in the 19th arrondissement near the Belleville and Jourdain neighborhoods.
-
E.
Fernandel
Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.