Triple
T6964985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Kruger |
E161465
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Algermissen
Algermissen is a small municipality in Lower Saxony, Germany, located between Hanover and Hildesheim.
|
E630639
|
NE FINISHED |
How this triple was built (4 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: Algermissen | Statement: [Diane Kruger, placeOfBirth, Algermissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algermissen Context triple: [Diane Kruger, placeOfBirth, Algermissen]
-
A.
Algerasluis
Algerasluis is a lock complex in the Netherlands that regulates water levels and shipping traffic on the Hollandsche IJssel near Rotterdam.
-
B.
Algieba
Algieba is a bright double star system in the constellation Leo, known for its striking golden components and prominence in amateur astronomy observations.
-
C.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
D.
Madouri
Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Algermissen Triple: [Diane Kruger, placeOfBirth, Algermissen]
Generated description
Algermissen is a small municipality in Lower Saxony, Germany, located between Hanover and Hildesheim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Algermissen Target entity description: Algermissen is a small municipality in Lower Saxony, Germany, located between Hanover and Hildesheim.
-
A.
Algerasluis
Algerasluis is a lock complex in the Netherlands that regulates water levels and shipping traffic on the Hollandsche IJssel near Rotterdam.
-
B.
Algieba
Algieba is a bright double star system in the constellation Leo, known for its striking golden components and prominence in amateur astronomy observations.
-
C.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
D.
Madouri
Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- F. None of above. chosen
Provenance (5 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1049e0819097099a0e9d15f787 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c759553fe081909881c8d2ae680dfe |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759c79de48190bd3e079c07a9158a |
completed | March 28, 2026, 4:32 a.m. |
Created at: March 27, 2026, 2:30 p.m.