Triple
T5491868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rector of Imperial College London |
E123720
|
entity |
| Predicate | usedAsTitleUntil |
P64421
|
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: [Rector of Imperial College London, usedAsTitleUntil, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsTitleUntil Context triple: [Rector of Imperial College London, usedAsTitleUntil, 2012]
-
A.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
B.
usedAsTitleInFull
Indicates that something functions as a formal title within the complete, official version of a name or designation.
-
C.
firstUseAsTitleBy
Indicates that an entity is the first to use a given term, phrase, or designation as a formal title for another entity.
-
D.
firstUseAsTitleDate
Indicates the date on which something was first used as a title.
-
E.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9280403c8190baaa3f7923449a37 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a8df6481908d1643f7342fe6f0 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd925c62a88190ac932444d5170bdd |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:10 p.m.