Triple
T8501384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Set a Watchman |
E201224
|
entity |
| Predicate | initiallyDescribedAs |
P74956
|
FINISHED |
| Object | sequel to To Kill a Mockingbird |
—
|
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: sequel to To Kill a Mockingbird | Statement: [Go Set a Watchman, initiallyDescribedAs, sequel to To Kill a Mockingbird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyDescribedAs Context triple: [Go Set a Watchman, initiallyDescribedAs, sequel to To Kill a Mockingbird]
-
A.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
B.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
C.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
D.
originallyPresentedAs
chosen
Indicates that one entity was first introduced, described, or characterized in the form or manner specified by another entity.
-
E.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
- F. None of above.
Provenance (3 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59ad65c8190a2b8e6d22269853a |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.