Triple
T14635465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Alexander |
E343592
|
entity |
| Predicate | workFirstProducedYear |
P61832
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [David Alexander, workFirstProducedYear, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFirstProducedYear Context triple: [David Alexander, workFirstProducedYear, 1954]
-
A.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
B.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
C.
workOriginYear
chosen
Indicates the year in which a work (such as a creative, scholarly, or artistic piece) was originally created or first produced.
-
D.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
E.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.