Triple
T26267866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dannielynn Birkhead |
E657037
|
entity |
| Predicate | modelingDebutYear |
P160183
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Dannielynn Birkhead, modelingDebutYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelingDebutYear Context triple: [Dannielynn Birkhead, modelingDebutYear, 2012]
-
A.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
B.
liveDebutYear
Indicates the year in which an entity first performed or appeared live (e.g., in concert, on stage, or in a live event).
-
C.
debutCollectionYear
Indicates the year in which an entity’s first collection (e.g., of works, products, or items) was initially released or presented.
-
D.
liveDebutApproxYear
Indicates the approximate calendar year in which an entity first made its live debut (e.g., first live performance or public appearance).
-
E.
recordingDebutYear
Indicates the year in which an entity first released a recording or made its initial recorded debut.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60e2ef4bc8190b1ca37c0daf80ea4 |
completed | May 2, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:12 p.m.