Triple
T21067575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo LeSieg |
E519016
|
entity |
| Predicate | distinctionFromDrSeussName |
P142722
|
FINISHED |
| Object | used when Theodor Seuss Geisel did not illustrate the book himself |
—
|
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: used when Theodor Seuss Geisel did not illustrate the book himself | Statement: [Theo LeSieg, distinctionFromDrSeussName, used when Theodor Seuss Geisel did not illustrate the book himself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromDrSeussName Context triple: [Theo LeSieg, distinctionFromDrSeussName, used when Theodor Seuss Geisel did not illustrate the book himself]
-
A.
nameDistinction
Indicates that two entities are distinguished from one another specifically by differences in their names.
-
B.
nameContrastsWith
Indicates that one name is deliberately chosen or used to highlight a difference or opposition in meaning, style, or identity relative to another name.
-
C.
isDistinctiveGivenNameOf
Indicates that a given name uniquely and distinctively identifies or characterizes a particular entity compared to others.
-
D.
distinctionFormulatedBy
Indicates that a particular conceptual or categorical distinction was defined, articulated, or formally introduced by a specific agent or source.
-
E.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb5772481909e32af3b3a69df76 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:45 p.m.