Triple
T12186794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilbo's birthday speech in The Fellowship of the Ring |
E290353
|
entity |
| Predicate | celebratesAge |
P42099
|
FINISHED |
| Object | Bilbo's 111th birthday |
—
|
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: Bilbo's 111th birthday | Statement: [Bilbo's birthday speech in The Fellowship of the Ring, celebratesAge, Bilbo's 111th birthday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: celebratesAge Context triple: [Bilbo's birthday speech in The Fellowship of the Ring, celebratesAge, Bilbo's 111th birthday]
-
A.
anniversaryOf
Indicates that one event or date marks the commemoration or yearly recurrence of another specific event.
-
B.
hasBirthday
Indicates that an entity has a specific date on which its birth or founding is celebrated.
-
C.
yearTurned
Indicates the specific year in which an entity changed state, status, or classification (e.g., when it became, reached, or turned into something).
-
D.
ageAtParty
chosen
Indicates the age a person (or entity) has at the time a particular party or event takes place.
-
E.
anniversaryNumber
Indicates the specific ordinal count of an anniversary occurrence in a recurring commemorative event or relationship.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.