Triple
T20425829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy (Waiting for Godot) |
E500997
|
entity |
| Predicate | relationshipToGodot |
P140083
|
FINISHED |
| Object | servant |
—
|
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: servant | Statement: [Boy (Waiting for Godot), relationshipToGodot, servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGodot Context triple: [Boy (Waiting for Godot), relationshipToGodot, servant]
-
A.
relatedNameOfGod
Indicates that one entity is a name, title, or designation that refers to or is associated with God.
-
B.
relationshipToEdd
Indicates the specific type of relationship or connection that an entity has to Edd.
-
C.
relationshipWithGodzilla
Indicates the type or nature of a relationship that an entity has with Godzilla.
-
D.
relationshipToDeities
Indicates how an entity is connected or related to one or more deities, such as through worship, lineage, role, or status.
-
E.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:30 a.m.