Triple
T5180156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry the Lion |
E116898
|
entity |
| Predicate | startTime (Duke of Saxony) |
P62211
|
FINISHED |
| Object | 1142 |
—
|
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: 1142 | Statement: [Henry the Lion, startTime (Duke of Saxony), 1142]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Duke of Saxony) Context triple: [Henry the Lion, startTime (Duke of Saxony), 1142]
-
A.
startTime (Rector of Masaryk University)
Indicates the point in time at which a person began serving as Rector of Masaryk University.
-
B.
startTime (Bishop of Monmouth)
Indicates the point in time at which someone began serving as Bishop of Monmouth.
-
C.
startTime (Archbishop of Wales)
Indicates the point in time at which someone begins serving as Archbishop of Wales.
-
D.
reignAsDukeOfNassauStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Nassau.
-
E.
startTime (European Commissioner)
Indicates the point in time at which a person begins serving as a European Commissioner.
- 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_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. |
| PDg | Predicate description generation | batch_69bd79251b548190918a1eb930e24c22 |
completed | March 20, 2026, 4:43 p.m. |
Created at: March 20, 2026, 1:45 p.m.