Triple
T21612869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Kerkorian |
E533354
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kerkor
Kerkor is the given first name of Kirk Kerkorian, the influential American investor and casino magnate who helped shape modern Las Vegas.
|
E1492460
|
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: Kerkor | Statement: [Kirk Kerkorian, givenName, Kerkor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerkor Context triple: [Kirk Kerkorian, givenName, Kerkor]
-
A.
Kerkini
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
-
B.
Kerkebet
Kerkebet is a small town in the Anseba region of Eritrea.
-
C.
Kerevat
Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
-
D.
Kara Kilise
Kara Kilise is an ancient Armenian monastery in northwestern Iran, renowned for its distinctive black-and-white stone architecture and significance as one of the oldest Christian sites in the region.
-
E.
Kerkini dam
Kerkini dam is a man-made structure in northern Greece that created Lake Kerkini, transforming the area into a significant wetland and national park.
- 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: Kerkor Triple: [Kirk Kerkorian, givenName, Kerkor]
Generated description
Kerkor is the given first name of Kirk Kerkorian, the influential American investor and casino magnate who helped shape modern Las Vegas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerkor Target entity description: Kerkor is the given first name of Kirk Kerkorian, the influential American investor and casino magnate who helped shape modern Las Vegas.
-
A.
Kerkini
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
-
B.
Kerkebet
Kerkebet is a small town in the Anseba region of Eritrea.
-
C.
Kerevat
Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
-
D.
Kara Kilise
Kara Kilise is an ancient Armenian monastery in northwestern Iran, renowned for its distinctive black-and-white stone architecture and significance as one of the oldest Christian sites in the region.
-
E.
Kerkini dam
Kerkini dam is a man-made structure in northern Greece that created Lake Kerkini, transforming the area into a significant wetland and national park.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd3f5e688190b1b4b4c97378eefa |
completed | May 17, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a09fe6211588190a1843921d5f2e96a |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fedf812881908226e4d164b9d01a |
completed | May 17, 2026, 5:46 p.m. |
Created at: April 16, 2026, 6:33 p.m.