Triple
T29074238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needle |
E735892
|
entity |
| Predicate | originalSerializationYear |
P59503
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [Needle, originalSerializationYear, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSerializationYear Context triple: [Needle, originalSerializationYear, 1949]
-
A.
firstSerializationYear
chosen
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
-
B.
serializationYear
Indicates the year in which a work, content, or data was serialized or released in serialized form.
-
C.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
D.
originYear
Indicates the year in which something first originated, was created, or began.
-
E.
originallySerialized
Indicates that one entity was first stored, recorded, or encoded in a serialized form by another entity or process.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: April 28, 2026, 10:22 a.m.