Triple
T5180157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry the Lion |
E116898
|
entity |
| Predicate | endTime (Duke of Saxony) |
P2721
|
FINISHED |
| Object | 1180 |
—
|
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: 1180 | Statement: [Henry the Lion, endTime (Duke of Saxony), 1180]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Duke of Saxony) Context triple: [Henry the Lion, endTime (Duke of Saxony), 1180]
-
A.
endTime (Archbishop of Wales)
Indicates the point in time at which a person’s tenure as Archbishop of Wales comes to an end.
-
B.
endTimeAsElectorOfBavaria
Indicates the point in time at which an individual’s role or tenure as Elector of Bavaria comes to an end.
-
C.
endTime (spouse Edward VIII)
Indicates the time at which the marital relationship with Edward VIII concluded.
-
D.
endTime (Rector of Masaryk University)
Indicates the point in time at which a person’s tenure as Rector of Masaryk University concludes.
-
E.
endOfReign
chosen
Indicates the point in time or event at which a ruler’s or leader’s period of authority or reign concludes.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.